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mne.io.read_raw_eeglab": [[574, "examples-using-mne-io-read-raw-eeglab"]], "Examples using mne.io.read_raw_egi": [[575, "examples-using-mne-io-read-raw-egi"]], "Examples using mne.io.read_raw_eyelink": [[577, "examples-using-mne-io-read-raw-eyelink"]], "Examples using mne.io.read_raw_fif": [[579, "examples-using-mne-io-read-raw-fif"]], "Examples using mne.io.read_raw_fil": [[580, "examples-using-mne-io-read-raw-fil"]], "Examples using mne.io.read_raw_gdf": [[581, "examples-using-mne-io-read-raw-gdf"]], "Examples using mne.io.read_raw_kit": [[583, "examples-using-mne-io-read-raw-kit"]], "Examples using mne.io.read_raw_nirx": [[588, "examples-using-mne-io-read-raw-nirx"]], "Examples using mne.io.read_raw_snirf": [[591, "examples-using-mne-io-read-raw-snirf"]], "Examples using mne.label.select_sources": [[595, "examples-using-mne-label-select-sources"]], "Examples using mne.label_sign_flip": [[596, "examples-using-mne-label-sign-flip"]], "Examples using mne.labels_to_stc": [[597, 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"examples-using-mne-preprocessing-eyetracking-set-channel-types-eyetrack"]], "Examples using mne.preprocessing.find_bad_channels_maxwell": [[670, "examples-using-mne-preprocessing-find-bad-channels-maxwell"]], "Examples using mne.preprocessing.find_ecg_events": [[671, "examples-using-mne-preprocessing-find-ecg-events"]], "Examples using mne.preprocessing.find_eog_events": [[672, "examples-using-mne-preprocessing-find-eog-events"]], "Examples using mne.preprocessing.fix_stim_artifact": [[673, "examples-using-mne-preprocessing-fix-stim-artifact"]], "Examples using mne.preprocessing.interpolate_bridged_electrodes": [[680, "examples-using-mne-preprocessing-interpolate-bridged-electrodes"]], "Examples using mne.preprocessing.maxwell_filter": [[681, "examples-using-mne-preprocessing-maxwell-filter"]], "Examples using mne.preprocessing.nirs.beer_lambert_law": [[683, "examples-using-mne-preprocessing-nirs-beer-lambert-law"]], "Examples using mne.preprocessing.nirs.optical_density": [[684, "examples-using-mne-preprocessing-nirs-optical-density"]], "Examples using mne.preprocessing.nirs.scalp_coupling_index": [[685, "examples-using-mne-preprocessing-nirs-scalp-coupling-index"]], "Examples using mne.preprocessing.nirs.source_detector_distances": [[687, "examples-using-mne-preprocessing-nirs-source-detector-distances"]], "Examples using mne.preprocessing.nirs.temporal_derivative_distribution_repair": [[688, "examples-using-mne-preprocessing-nirs-temporal-derivative-distribution-repair"]], "Examples using mne.preprocessing.oversampled_temporal_projection": [[689, "examples-using-mne-preprocessing-oversampled-temporal-projection"]], "Examples using mne.preprocessing.read_ica": [[693, "examples-using-mne-preprocessing-read-ica"]], "Examples using mne.preprocessing.realign_raw": [[695, "examples-using-mne-preprocessing-realign-raw"]], "Examples using mne.preprocessing.regress_artifact": [[696, "examples-using-mne-preprocessing-regress-artifact"]], "Examples using 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mne.read_source_estimate": [[721, "examples-using-mne-read-source-estimate"]], "Examples using mne.read_source_spaces": [[723, "examples-using-mne-read-source-spaces"]], "Examples using mne.read_surface": [[724, "examples-using-mne-read-surface"]], "Examples using mne.read_talxfm": [[725, "examples-using-mne-read-talxfm"]], "Examples using mne.read_trans": [[726, "examples-using-mne-read-trans"]], "Examples using mne.read_vectorview_selection": [[728, "examples-using-mne-read-vectorview-selection"]], "Examples using mne.scale_mri": [[732, "examples-using-mne-scale-mri"]], "Examples using mne.sensitivity_map": [[734, "examples-using-mne-sensitivity-map"]], "Examples using mne.set_bipolar_reference": [[735, "examples-using-mne-set-bipolar-reference"]], "Examples using mne.set_config": [[737, "examples-using-mne-set-config"]], "Examples using mne.set_eeg_reference": [[738, "examples-using-mne-set-eeg-reference"]], "Examples using mne.setup_source_space": [[742, "examples-using-mne-setup-source-space"]], "Examples using mne.setup_volume_source_space": [[743, "examples-using-mne-setup-volume-source-space"]], "Examples using mne.simulation.SourceSimulator": [[744, "examples-using-mne-simulation-sourcesimulator"]], "Examples using mne.simulation.add_ecg": [[746, "examples-using-mne-simulation-add-ecg"]], "Examples using mne.simulation.add_eog": [[747, "examples-using-mne-simulation-add-eog"]], "Examples using mne.simulation.add_noise": [[748, "examples-using-mne-simulation-add-noise"]], "Examples using mne.simulation.metrics.cosine_score": [[749, "examples-using-mne-simulation-metrics-cosine-score"]], "Examples using mne.simulation.metrics.f1_score": [[750, "examples-using-mne-simulation-metrics-f1-score"]], "Examples using mne.simulation.metrics.peak_position_error": [[751, "examples-using-mne-simulation-metrics-peak-position-error"]], "Examples using mne.simulation.metrics.precision_score": [[752, "examples-using-mne-simulation-metrics-precision-score"]], "Examples using mne.simulation.metrics.recall_score": [[753, "examples-using-mne-simulation-metrics-recall-score"]], "Examples using mne.simulation.metrics.region_localization_error": [[754, "examples-using-mne-simulation-metrics-region-localization-error"]], "Examples using mne.simulation.metrics.spatial_deviation_error": [[756, "examples-using-mne-simulation-metrics-spatial-deviation-error"]], "Examples using mne.simulation.simulate_evoked": [[758, "examples-using-mne-simulation-simulate-evoked"]], "Examples using mne.simulation.simulate_raw": [[759, "examples-using-mne-simulation-simulate-raw"]], "Examples using mne.simulation.simulate_sparse_stc": [[760, "examples-using-mne-simulation-simulate-sparse-stc"]], "Examples using mne.simulation.simulate_stc": [[761, "examples-using-mne-simulation-simulate-stc"]], "Examples using mne.source_space.compute_distance_to_sensors": [[762, "examples-using-mne-source-space-compute-distance-to-sensors"]], "Examples using mne.spatial_src_adjacency": [[766, "examples-using-mne-spatial-src-adjacency"]], "Examples using mne.stats.bonferroni_correction": [[772, "examples-using-mne-stats-bonferroni-correction"]], "Examples using mne.stats.bootstrap_confidence_interval": [[773, "examples-using-mne-stats-bootstrap-confidence-interval"]], "Examples using mne.stats.combine_adjacency": [[774, "examples-using-mne-stats-combine-adjacency"]], "Examples using mne.stats.f_mway_rm": [[776, "examples-using-mne-stats-f-mway-rm"]], "Examples using mne.stats.f_threshold_mway_rm": [[778, "examples-using-mne-stats-f-threshold-mway-rm"]], "Examples using mne.stats.fdr_correction": [[779, "examples-using-mne-stats-fdr-correction"]], "Examples using mne.stats.linear_regression": [[780, "examples-using-mne-stats-linear-regression"]], "Examples using mne.stats.linear_regression_raw": [[781, "examples-using-mne-stats-linear-regression-raw"]], "Examples using mne.stats.permutation_cluster_1samp_test": [[782, "examples-using-mne-stats-permutation-cluster-1samp-test"]], "Examples using mne.stats.permutation_cluster_test": [[783, "examples-using-mne-stats-permutation-cluster-test"]], "Examples using mne.stats.permutation_t_test": [[784, "examples-using-mne-stats-permutation-t-test"]], "Examples using mne.stats.spatio_temporal_cluster_1samp_test": [[785, "examples-using-mne-stats-spatio-temporal-cluster-1samp-test"]], "Examples using mne.stats.spatio_temporal_cluster_test": [[786, "examples-using-mne-stats-spatio-temporal-cluster-test"]], "Examples using mne.stats.summarize_clusters_stc": [[787, "examples-using-mne-stats-summarize-clusters-stc"]], "Examples using mne.stats.ttest_1samp_no_p": [[788, "examples-using-mne-stats-ttest-1samp-no-p"]], "Examples using mne.stc_near_sensors": [[790, "examples-using-mne-stc-near-sensors"]], "Examples using mne.stc_to_label": [[791, "examples-using-mne-stc-to-label"]], "Examples using mne.surface.read_curvature": [[793, "examples-using-mne-surface-read-curvature"]], "Examples using mne.sys_info": [[794, "examples-using-mne-sys-info"]], "Examples using mne.time_frequency.AverageTFR": [[795, "examples-using-mne-time-frequency-averagetfr"]], "Examples using mne.time_frequency.AverageTFRArray": [[796, "examples-using-mne-time-frequency-averagetfrarray"]], "Examples using mne.time_frequency.BaseTFR": [[797, "examples-using-mne-time-frequency-basetfr"]], "Examples using mne.time_frequency.CrossSpectralDensity": [[798, "examples-using-mne-time-frequency-crossspectraldensity"]], "Examples using mne.time_frequency.EpochsSpectrum": [[799, "examples-using-mne-time-frequency-epochsspectrum"]], "Examples using mne.time_frequency.EpochsSpectrumArray": [[800, "examples-using-mne-time-frequency-epochsspectrumarray"]], "Examples using mne.time_frequency.EpochsTFR": [[801, "examples-using-mne-time-frequency-epochstfr"]], "Examples using mne.time_frequency.EpochsTFRArray": [[802, "examples-using-mne-time-frequency-epochstfrarray"]], "Examples using mne.time_frequency.Spectrum": [[805, "examples-using-mne-time-frequency-spectrum"]], "Examples using mne.time_frequency.SpectrumArray": [[806, "examples-using-mne-time-frequency-spectrumarray"]], "Examples using mne.time_frequency.csd_fourier": [[810, "examples-using-mne-time-frequency-csd-fourier"]], "Examples using mne.time_frequency.csd_morlet": [[811, "examples-using-mne-time-frequency-csd-morlet"]], "Examples using mne.time_frequency.csd_multitaper": [[812, "examples-using-mne-time-frequency-csd-multitaper"]], "Examples using mne.time_frequency.csd_tfr": [[813, "examples-using-mne-time-frequency-csd-tfr"]], "Examples using mne.time_frequency.fit_iir_model_raw": [[815, "examples-using-mne-time-frequency-fit-iir-model-raw"]], "Examples using mne.time_frequency.morlet": [[818, "examples-using-mne-time-frequency-morlet"]], "Examples using mne.time_frequency.psd_array_welch": [[821, "examples-using-mne-time-frequency-psd-array-welch"]], "Examples using mne.time_frequency.tfr_array_morlet": [[829, "examples-using-mne-time-frequency-tfr-array-morlet"]], "Examples using mne.time_frequency.tfr_morlet": [[832, "examples-using-mne-time-frequency-tfr-morlet"]], "Examples using mne.time_frequency.tfr_multitaper": [[833, "examples-using-mne-time-frequency-tfr-multitaper"]], "Examples using mne.time_frequency.tfr_stockwell": [[834, "examples-using-mne-time-frequency-tfr-stockwell"]], "Examples using mne.transforms.read_ras_mni_t": [[842, "examples-using-mne-transforms-read-ras-mni-t"]], "Examples using mne.use_coil_def": [[844, "examples-using-mne-use-coil-def"]], "Examples using mne.use_log_level": [[845, "examples-using-mne-use-log-level"]], "Examples using mne.vertex_to_mni": [[849, "examples-using-mne-vertex-to-mni"]], "Examples using mne.viz.Brain": [[850, "examples-using-mne-viz-brain"]], "Examples using mne.viz.ClickableImage": [[851, "examples-using-mne-viz-clickableimage"]], "Examples using mne.viz.EvokedField": [[852, "examples-using-mne-viz-evokedfield"]], "Examples using mne.viz.circular_layout": [[856, "examples-using-mne-viz-circular-layout"]], "Examples using mne.viz.create_3d_figure": [[860, "examples-using-mne-viz-create-3d-figure"]], "Examples using mne.viz.eyetracking.plot_gaze": [[861, "examples-using-mne-viz-eyetracking-plot-gaze"]], "Examples using mne.viz.get_brain_class": [[863, "examples-using-mne-viz-get-brain-class"]], "Examples using mne.viz.iter_topography": [[865, "examples-using-mne-viz-iter-topography"]], "Examples using mne.viz.plot_alignment": [[868, "examples-using-mne-viz-plot-alignment"]], "Examples using mne.viz.plot_arrowmap": [[869, "examples-using-mne-viz-plot-arrowmap"]], "Examples using mne.viz.plot_bem": [[870, "examples-using-mne-viz-plot-bem"]], "Examples using mne.viz.plot_brain_colorbar": [[871, "examples-using-mne-viz-plot-brain-colorbar"]], "Examples using 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"generated/mne.channels.read_dig_egi", "generated/mne.channels.read_dig_fif", "generated/mne.channels.read_dig_hpts", "generated/mne.channels.read_dig_localite", "generated/mne.channels.read_dig_polhemus_isotrak", "generated/mne.channels.read_layout", "generated/mne.channels.read_polhemus_fastscan", "generated/mne.channels.rename_channels", "generated/mne.channels.unify_bad_channels", "generated/mne.chpi.compute_chpi_amplitudes", "generated/mne.chpi.compute_chpi_locs", "generated/mne.chpi.compute_chpi_snr", "generated/mne.chpi.compute_head_pos", "generated/mne.chpi.extract_chpi_locs_ctf", "generated/mne.chpi.extract_chpi_locs_kit", "generated/mne.chpi.filter_chpi", "generated/mne.chpi.get_active_chpi", "generated/mne.chpi.get_chpi_info", "generated/mne.chpi.head_pos_to_trans_rot_t", "generated/mne.chpi.read_head_pos", "generated/mne.chpi.write_head_pos", "generated/mne.combine_evoked", "generated/mne.compute_covariance", "generated/mne.compute_proj_epochs", "generated/mne.compute_proj_evoked", "generated/mne.compute_proj_raw", "generated/mne.compute_rank", "generated/mne.compute_raw_covariance", "generated/mne.compute_source_morph", "generated/mne.concatenate_epochs", "generated/mne.concatenate_events", "generated/mne.concatenate_raws", "generated/mne.convert_forward_solution", "generated/mne.coreg.Coregistration", "generated/mne.coreg.estimate_head_mri_t", "generated/mne.coreg.get_mni_fiducials", "generated/mne.count_annotations", "generated/mne.count_events", "generated/mne.cov.compute_whitener", "generated/mne.cov.prepare_noise_cov", "generated/mne.cov.regularize", "generated/mne.create_default_subject", "generated/mne.create_info", "generated/mne.cuda.get_cuda_memory", "generated/mne.cuda.init_cuda", "generated/mne.cuda.set_cuda_device", "generated/mne.datasets.brainstorm.bst_auditory.data_path", "generated/mne.datasets.brainstorm.bst_raw.data_path", "generated/mne.datasets.brainstorm.bst_resting.data_path", "generated/mne.datasets.eegbci.load_data", "generated/mne.datasets.eegbci.standardize", "generated/mne.datasets.epilepsy_ecog.data_path", "generated/mne.datasets.erp_core.data_path", "generated/mne.datasets.eyelink.data_path", "generated/mne.datasets.fetch_aparc_sub_parcellation", "generated/mne.datasets.fetch_dataset", "generated/mne.datasets.fetch_fsaverage", "generated/mne.datasets.fetch_hcp_mmp_parcellation", "generated/mne.datasets.fetch_infant_template", "generated/mne.datasets.fetch_phantom", "generated/mne.datasets.fnirs_motor.data_path", "generated/mne.datasets.has_dataset", "generated/mne.datasets.hf_sef.data_path", "generated/mne.datasets.kiloword.data_path", "generated/mne.datasets.limo.load_data", "generated/mne.datasets.misc.data_path", "generated/mne.datasets.mtrf.data_path", "generated/mne.datasets.multimodal.data_path", "generated/mne.datasets.opm.data_path", "generated/mne.datasets.phantom_4dbti.data_path", "generated/mne.datasets.phantom_kernel.data_path", "generated/mne.datasets.phantom_kit.data_path", "generated/mne.datasets.refmeg_noise.data_path", "generated/mne.datasets.sample.data_path", "generated/mne.datasets.sleep_physionet.age.fetch_data", "generated/mne.datasets.sleep_physionet.temazepam.fetch_data", "generated/mne.datasets.somato.data_path", "generated/mne.datasets.spm_face.data_path", "generated/mne.datasets.ssvep.data_path", "generated/mne.datasets.ucl_opm_auditory.data_path", "generated/mne.datasets.visual_92_categories.data_path", "generated/mne.decimate_surface", "generated/mne.decoding.CSP", "generated/mne.decoding.EMS", "generated/mne.decoding.FilterEstimator", "generated/mne.decoding.GeneralizingEstimator", "generated/mne.decoding.LinearModel", "generated/mne.decoding.PSDEstimator", "generated/mne.decoding.ReceptiveField", "generated/mne.decoding.SPoC", "generated/mne.decoding.SSD", "generated/mne.decoding.Scaler", "generated/mne.decoding.SlidingEstimator", "generated/mne.decoding.TemporalFilter", "generated/mne.decoding.TimeDelayingRidge", "generated/mne.decoding.TimeFrequency", "generated/mne.decoding.UnsupervisedSpatialFilter", "generated/mne.decoding.Vectorizer", "generated/mne.decoding.compute_ems", "generated/mne.decoding.cross_val_multiscore", "generated/mne.decoding.get_coef", "generated/mne.dig_mri_distances", "generated/mne.dipole.get_phantom_dipoles", "generated/mne.epochs.average_movements", "generated/mne.epochs.combine_event_ids", "generated/mne.epochs.equalize_epoch_counts", "generated/mne.epochs.make_metadata", "generated/mne.equalize_channels", "generated/mne.event.define_target_events", "generated/mne.event.match_event_names", "generated/mne.event.shift_time_events", "generated/mne.events_from_annotations", "generated/mne.export.export_epochs", "generated/mne.export.export_evokeds", "generated/mne.export.export_evokeds_mff", "generated/mne.export.export_raw", "generated/mne.extract_label_time_course", "generated/mne.filter.construct_iir_filter", "generated/mne.filter.create_filter", "generated/mne.filter.estimate_ringing_samples", "generated/mne.filter.filter_data", "generated/mne.filter.notch_filter", "generated/mne.filter.resample", "generated/mne.find_events", "generated/mne.find_stim_steps", "generated/mne.fit_dipole", "generated/mne.forward.compute_depth_prior", "generated/mne.forward.compute_orient_prior", "generated/mne.forward.restrict_forward_to_label", "generated/mne.forward.restrict_forward_to_stc", "generated/mne.get_config", "generated/mne.get_config_path", "generated/mne.get_head_surf", "generated/mne.get_meg_helmet_surf", "generated/mne.get_montage_volume_labels", "generated/mne.get_volume_labels_from_aseg", "generated/mne.get_volume_labels_from_src", "generated/mne.grade_to_tris", "generated/mne.grade_to_vertices", "generated/mne.grand_average", "generated/mne.grow_labels", "generated/mne.gui.coregistration", "generated/mne.head_to_mni", "generated/mne.head_to_mri", "generated/mne.inverse_sparse.gamma_map", "generated/mne.inverse_sparse.make_stc_from_dipoles", "generated/mne.inverse_sparse.mixed_norm", "generated/mne.inverse_sparse.tf_mixed_norm", "generated/mne.io.BaseRaw", "generated/mne.io.Raw", "generated/mne.io.RawArray", "generated/mne.io.anonymize_info", "generated/mne.io.get_channel_type_constants", "generated/mne.io.kit.read_mrk", "generated/mne.io.read_fiducials", "generated/mne.io.read_info", "generated/mne.io.read_raw", "generated/mne.io.read_raw_ant", "generated/mne.io.read_raw_artemis123", "generated/mne.io.read_raw_bdf", "generated/mne.io.read_raw_boxy", "generated/mne.io.read_raw_brainvision", "generated/mne.io.read_raw_bti", "generated/mne.io.read_raw_cnt", "generated/mne.io.read_raw_ctf", "generated/mne.io.read_raw_curry", "generated/mne.io.read_raw_edf", "generated/mne.io.read_raw_eeglab", "generated/mne.io.read_raw_egi", "generated/mne.io.read_raw_eximia", "generated/mne.io.read_raw_eyelink", "generated/mne.io.read_raw_fieldtrip", "generated/mne.io.read_raw_fif", "generated/mne.io.read_raw_fil", "generated/mne.io.read_raw_gdf", "generated/mne.io.read_raw_hitachi", "generated/mne.io.read_raw_kit", "generated/mne.io.read_raw_nedf", "generated/mne.io.read_raw_neuralynx", "generated/mne.io.read_raw_nicolet", "generated/mne.io.read_raw_nihon", "generated/mne.io.read_raw_nirx", "generated/mne.io.read_raw_nsx", "generated/mne.io.read_raw_persyst", "generated/mne.io.read_raw_snirf", "generated/mne.io.show_fiff", "generated/mne.io.write_fiducials", "generated/mne.io.write_info", "generated/mne.label.select_sources", "generated/mne.label_sign_flip", "generated/mne.labels_to_stc", "generated/mne.make_ad_hoc_cov", "generated/mne.make_bem_model", "generated/mne.make_bem_solution", "generated/mne.make_field_map", "generated/mne.make_fixed_length_epochs", "generated/mne.make_fixed_length_events", "generated/mne.make_forward_dipole", "generated/mne.make_forward_solution", "generated/mne.make_sphere_model", "generated/mne.match_channel_orders", "generated/mne.merge_events", "generated/mne.minimum_norm.InverseOperator", "generated/mne.minimum_norm.apply_inverse", "generated/mne.minimum_norm.apply_inverse_cov", "generated/mne.minimum_norm.apply_inverse_epochs", "generated/mne.minimum_norm.apply_inverse_raw", "generated/mne.minimum_norm.apply_inverse_tfr_epochs", "generated/mne.minimum_norm.compute_rank_inverse", "generated/mne.minimum_norm.compute_source_psd", "generated/mne.minimum_norm.compute_source_psd_epochs", "generated/mne.minimum_norm.estimate_snr", "generated/mne.minimum_norm.get_cross_talk", "generated/mne.minimum_norm.get_point_spread", "generated/mne.minimum_norm.make_inverse_operator", "generated/mne.minimum_norm.make_inverse_resolution_matrix", "generated/mne.minimum_norm.prepare_inverse_operator", "generated/mne.minimum_norm.read_inverse_operator", "generated/mne.minimum_norm.resolution_metrics", "generated/mne.minimum_norm.source_band_induced_power", "generated/mne.minimum_norm.source_induced_power", "generated/mne.minimum_norm.write_inverse_operator", "generated/mne.morph_labels", "generated/mne.morph_source_spaces", "generated/mne.open_docs", "generated/mne.open_report", "generated/mne.parse_config", "generated/mne.pick_channels", "generated/mne.pick_channels_cov", "generated/mne.pick_channels_forward", "generated/mne.pick_channels_regexp", "generated/mne.pick_events", "generated/mne.pick_info", "generated/mne.pick_types", "generated/mne.pick_types_forward", "generated/mne.preprocessing.EOGRegression", "generated/mne.preprocessing.ICA", "generated/mne.preprocessing.Xdawn", "generated/mne.preprocessing.annotate_amplitude", "generated/mne.preprocessing.annotate_break", "generated/mne.preprocessing.annotate_movement", "generated/mne.preprocessing.annotate_muscle_zscore", "generated/mne.preprocessing.annotate_nan", "generated/mne.preprocessing.compute_average_dev_head_t", "generated/mne.preprocessing.compute_bridged_electrodes", "generated/mne.preprocessing.compute_current_source_density", "generated/mne.preprocessing.compute_fine_calibration", "generated/mne.preprocessing.compute_maxwell_basis", "generated/mne.preprocessing.compute_proj_ecg", "generated/mne.preprocessing.compute_proj_eog", "generated/mne.preprocessing.compute_proj_hfc", "generated/mne.preprocessing.corrmap", "generated/mne.preprocessing.cortical_signal_suppression", "generated/mne.preprocessing.create_ecg_epochs", "generated/mne.preprocessing.create_eog_epochs", "generated/mne.preprocessing.equalize_bads", "generated/mne.preprocessing.eyetracking.Calibration", "generated/mne.preprocessing.eyetracking.convert_units", "generated/mne.preprocessing.eyetracking.get_screen_visual_angle", "generated/mne.preprocessing.eyetracking.interpolate_blinks", "generated/mne.preprocessing.eyetracking.read_eyelink_calibration", "generated/mne.preprocessing.eyetracking.set_channel_types_eyetrack", "generated/mne.preprocessing.find_bad_channels_lof", "generated/mne.preprocessing.find_bad_channels_maxwell", "generated/mne.preprocessing.find_ecg_events", "generated/mne.preprocessing.find_eog_events", "generated/mne.preprocessing.fix_stim_artifact", "generated/mne.preprocessing.ica_find_ecg_events", "generated/mne.preprocessing.ica_find_eog_events", "generated/mne.preprocessing.ieeg.make_montage_volume", "generated/mne.preprocessing.ieeg.project_sensors_onto_brain", "generated/mne.preprocessing.ieeg.warp_montage", "generated/mne.preprocessing.infomax", "generated/mne.preprocessing.interpolate_bridged_electrodes", "generated/mne.preprocessing.maxwell_filter", "generated/mne.preprocessing.maxwell_filter_prepare_emptyroom", "generated/mne.preprocessing.nirs.beer_lambert_law", "generated/mne.preprocessing.nirs.optical_density", "generated/mne.preprocessing.nirs.scalp_coupling_index", "generated/mne.preprocessing.nirs.short_channels", "generated/mne.preprocessing.nirs.source_detector_distances", "generated/mne.preprocessing.nirs.temporal_derivative_distribution_repair", "generated/mne.preprocessing.oversampled_temporal_projection", "generated/mne.preprocessing.peak_finder", "generated/mne.preprocessing.read_eog_regression", "generated/mne.preprocessing.read_fine_calibration", "generated/mne.preprocessing.read_ica", "generated/mne.preprocessing.read_ica_eeglab", "generated/mne.preprocessing.realign_raw", "generated/mne.preprocessing.regress_artifact", "generated/mne.preprocessing.write_fine_calibration", "generated/mne.random_parcellation", "generated/mne.read_annotations", "generated/mne.read_bem_solution", "generated/mne.read_bem_surfaces", "generated/mne.read_cov", "generated/mne.read_dipole", "generated/mne.read_epochs", "generated/mne.read_epochs_eeglab", "generated/mne.read_epochs_fieldtrip", "generated/mne.read_epochs_kit", "generated/mne.read_events", "generated/mne.read_evoked_besa", "generated/mne.read_evoked_fieldtrip", "generated/mne.read_evokeds", "generated/mne.read_evokeds_mff", "generated/mne.read_forward_solution", "generated/mne.read_freesurfer_lut", "generated/mne.read_label", "generated/mne.read_labels_from_annot", "generated/mne.read_lta", "generated/mne.read_morph_map", "generated/mne.read_proj", "generated/mne.read_reject_parameters", "generated/mne.read_source_estimate", "generated/mne.read_source_morph", "generated/mne.read_source_spaces", "generated/mne.read_surface", "generated/mne.read_talxfm", "generated/mne.read_trans", "generated/mne.read_tri", "generated/mne.read_vectorview_selection", "generated/mne.rename_channels", "generated/mne.scale_bem", "generated/mne.scale_labels", "generated/mne.scale_mri", "generated/mne.scale_source_space", "generated/mne.sensitivity_map", "generated/mne.set_bipolar_reference", "generated/mne.set_cache_dir", "generated/mne.set_config", "generated/mne.set_eeg_reference", "generated/mne.set_log_file", "generated/mne.set_log_level", "generated/mne.set_memmap_min_size", "generated/mne.setup_source_space", "generated/mne.setup_volume_source_space", "generated/mne.simulation.SourceSimulator", "generated/mne.simulation.add_chpi", "generated/mne.simulation.add_ecg", "generated/mne.simulation.add_eog", "generated/mne.simulation.add_noise", "generated/mne.simulation.metrics.cosine_score", "generated/mne.simulation.metrics.f1_score", "generated/mne.simulation.metrics.peak_position_error", "generated/mne.simulation.metrics.precision_score", "generated/mne.simulation.metrics.recall_score", "generated/mne.simulation.metrics.region_localization_error", "generated/mne.simulation.metrics.roc_auc_score", "generated/mne.simulation.metrics.spatial_deviation_error", "generated/mne.simulation.select_source_in_label", "generated/mne.simulation.simulate_evoked", "generated/mne.simulation.simulate_raw", "generated/mne.simulation.simulate_sparse_stc", "generated/mne.simulation.simulate_stc", "generated/mne.source_space.compute_distance_to_sensors", "generated/mne.source_space.get_decimated_surfaces", "generated/mne.spatial_dist_adjacency", "generated/mne.spatial_inter_hemi_adjacency", "generated/mne.spatial_src_adjacency", "generated/mne.spatial_tris_adjacency", "generated/mne.spatio_temporal_dist_adjacency", "generated/mne.spatio_temporal_src_adjacency", "generated/mne.spatio_temporal_tris_adjacency", "generated/mne.split_label", "generated/mne.stats.bonferroni_correction", "generated/mne.stats.bootstrap_confidence_interval", "generated/mne.stats.combine_adjacency", "generated/mne.stats.erp.compute_sme", "generated/mne.stats.f_mway_rm", "generated/mne.stats.f_oneway", "generated/mne.stats.f_threshold_mway_rm", "generated/mne.stats.fdr_correction", "generated/mne.stats.linear_regression", "generated/mne.stats.linear_regression_raw", "generated/mne.stats.permutation_cluster_1samp_test", "generated/mne.stats.permutation_cluster_test", "generated/mne.stats.permutation_t_test", "generated/mne.stats.spatio_temporal_cluster_1samp_test", "generated/mne.stats.spatio_temporal_cluster_test", "generated/mne.stats.summarize_clusters_stc", "generated/mne.stats.ttest_1samp_no_p", "generated/mne.stats.ttest_ind_no_p", "generated/mne.stc_near_sensors", "generated/mne.stc_to_label", "generated/mne.surface.complete_surface_info", "generated/mne.surface.read_curvature", "generated/mne.sys_info", "generated/mne.time_frequency.AverageTFR", "generated/mne.time_frequency.AverageTFRArray", "generated/mne.time_frequency.BaseTFR", "generated/mne.time_frequency.CrossSpectralDensity", "generated/mne.time_frequency.EpochsSpectrum", "generated/mne.time_frequency.EpochsSpectrumArray", "generated/mne.time_frequency.EpochsTFR", "generated/mne.time_frequency.EpochsTFRArray", "generated/mne.time_frequency.RawTFR", "generated/mne.time_frequency.RawTFRArray", "generated/mne.time_frequency.Spectrum", "generated/mne.time_frequency.SpectrumArray", "generated/mne.time_frequency.csd_array_fourier", "generated/mne.time_frequency.csd_array_morlet", "generated/mne.time_frequency.csd_array_multitaper", "generated/mne.time_frequency.csd_fourier", "generated/mne.time_frequency.csd_morlet", "generated/mne.time_frequency.csd_multitaper", "generated/mne.time_frequency.csd_tfr", "generated/mne.time_frequency.dpss_windows", "generated/mne.time_frequency.fit_iir_model_raw", "generated/mne.time_frequency.fwhm", "generated/mne.time_frequency.istft", "generated/mne.time_frequency.morlet", "generated/mne.time_frequency.pick_channels_csd", "generated/mne.time_frequency.psd_array_multitaper", "generated/mne.time_frequency.psd_array_welch", "generated/mne.time_frequency.read_csd", "generated/mne.time_frequency.read_spectrum", "generated/mne.time_frequency.read_tfrs", "generated/mne.time_frequency.stft", "generated/mne.time_frequency.stftfreq", "generated/mne.time_frequency.tfr.cwt", "generated/mne.time_frequency.tfr.morlet", "generated/mne.time_frequency.tfr_array_morlet", "generated/mne.time_frequency.tfr_array_multitaper", "generated/mne.time_frequency.tfr_array_stockwell", "generated/mne.time_frequency.tfr_morlet", "generated/mne.time_frequency.tfr_multitaper", "generated/mne.time_frequency.tfr_stockwell", "generated/mne.time_frequency.write_tfrs", "generated/mne.transform_surface_to", "generated/mne.transforms.Transform", "generated/mne.transforms.apply_volume_registration", "generated/mne.transforms.apply_volume_registration_points", "generated/mne.transforms.compute_volume_registration", "generated/mne.transforms.quat_to_rot", "generated/mne.transforms.read_ras_mni_t", "generated/mne.transforms.rot_to_quat", "generated/mne.use_coil_def", "generated/mne.use_log_level", "generated/mne.utils.deprecated", "generated/mne.utils.warn", "generated/mne.verbose", "generated/mne.vertex_to_mni", "generated/mne.viz.Brain", "generated/mne.viz.ClickableImage", "generated/mne.viz.EvokedField", 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342, 393, 394, 456, 481, 482, 556, 557, 594, 922], "ch0": 98, "ch1": 98, "ch2": [98, 252], "ch_adjac": [392, 403], "ch_dx": 865, "ch_ecg": [671, 674], "ch_group": [309, 337, 338, 339, 340, 342, 556, 557, 908], "ch_idx": [161, 238, 259, 271, 312, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557], "ch_idx_by_typ": 197, "ch_ind": 262, "ch_indic": 395, "ch_info": [295, 735], "ch_name": [27, 29, 30, 33, 41, 44, 45, 47, 57, 90, 91, 95, 98, 103, 129, 141, 143, 144, 149, 155, 163, 164, 168, 174, 177, 179, 187, 194, 196, 197, 200, 212, 214, 219, 220, 229, 230, 232, 234, 236, 239, 240, 241, 242, 245, 252, 254, 259, 260, 261, 262, 271, 286, 289, 290, 293, 296, 306, 310, 312, 313, 329, 331, 332, 334, 336, 337, 338, 339, 340, 341, 342, 344, 345, 348, 351, 352, 353, 370, 371, 386, 388, 392, 395, 398, 403, 411, 445, 446, 449, 555, 556, 557, 609, 634, 635, 636, 637, 643, 655, 656, 660, 661, 670, 671, 672, 692, 713, 735, 748, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 819, 873, 882, 883, 905], "ch_po": [386, 399], "ch_roi": 179, "ch_subset": 239, "ch_type": [34, 40, 48, 52, 68, 91, 108, 110, 115, 129, 141, 143, 149, 154, 155, 159, 169, 170, 173, 177, 178, 179, 194, 198, 204, 205, 219, 234, 239, 240, 248, 252, 262, 270, 271, 286, 293, 312, 334, 337, 338, 339, 340, 342, 392, 393, 449, 489, 496, 556, 557, 586, 601, 642, 643, 648, 658, 670, 734, 738, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 883, 884, 891, 895, 907, 908, 912, 914, 923], "chain": [69, 195, 225, 229, 245, 324, 326, 495], "chala": [290, 314], "challeng": [102, 179, 241, 279, 318, 323, 952], "cham": [279, 643], "chambon": [165, 279, 290, 314], "chan": [174, 230, 328, 774], "chan_adj": 774, "chan_idx": 194, "chanc": [34, 35, 36, 37, 225, 305, 316], "chandan": [104, 279, 688], "chang": [23, 45, 57, 70, 71, 143, 164, 170, 173, 177, 179, 184, 186, 189, 195, 198, 199, 200, 203, 204, 206, 212, 217, 218, 220, 221, 224, 229, 234, 235, 236, 240, 241, 246, 247, 248, 253, 257, 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[130, 179, 231, 232, 279, 325, 337, 338, 481, 512, 524, 670], "charg": 322, "charl": [66, 70, 279, 349, 435, 553], "cheaper": 235, "cheby1": [231, 524], "chebychev": [231, 524], "chebyshev": [231, 300, 524], "check": [26, 31, 33, 38, 47, 52, 67, 69, 71, 76, 88, 98, 109, 110, 138, 148, 149, 150, 153, 155, 163, 165, 168, 170, 171, 172, 185, 186, 187, 189, 194, 196, 198, 199, 200, 203, 204, 209, 210, 212, 214, 220, 229, 230, 231, 234, 235, 241, 245, 246, 248, 257, 258, 271, 280, 282, 285, 286, 288, 289, 290, 291, 293, 294, 296, 297, 300, 303, 305, 306, 307, 308, 310, 311, 312, 313, 315, 318, 322, 323, 332, 334, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 392, 394, 462, 468, 489, 490, 492, 493, 495, 496, 497, 498, 499, 501, 502, 503, 508, 518, 522, 525, 555, 556, 557, 566, 569, 573, 618, 632, 643, 644, 651, 653, 782, 783, 785, 786, 794, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 836, 850, 868, 886, 888, 889, 890, 891, 922, 952, 957, 958], "check_disjoint": [782, 783, 785, 786], "check_vers": [311, 462, 794], "checkbox": [200, 305], "checker": 296, "checkerboard": [179, 194, 272, 279, 323], "checkout": 315, "chekroud": [313, 314], "chella": [279, 337, 338, 801, 831, 834], "chemistri": [279, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557], "chen": [279, 429], "chetan": [307, 314], "chi": 618, "children": [279, 328, 510, 970], "chin": 323, "chip": 318, "chirkov": [296, 297, 307, 314], "choic": [30, 143, 183, 188, 198, 199, 212, 231, 236, 246, 259, 323, 326, 350, 529, 539, 621, 788, 962], "choldgraf": [45, 143, 144, 164, 224], "choleski": [284, 326, 781], "choos": [103, 110, 136, 143, 144, 163, 169, 174, 179, 188, 190, 205, 208, 209, 218, 224, 228, 231, 232, 233, 234, 239, 259, 272, 287, 294, 308, 315, 316, 330, 337, 338, 344, 345, 348, 350, 351, 352, 353, 393, 530, 566, 573, 610, 618, 642, 648, 655, 669, 671, 674, 681, 708, 757, 760, 781, 850, 868, 871, 910, 915, 916, 952], "chorlian": [279, 337, 338, 801, 831, 834], "chose": 179, 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279, 323, 456, 481, 482], "circular": [53, 62, 82, 179, 253, 300, 326, 348, 350, 439, 547, 620, 622, 624, 713, 716, 850, 856, 972], "circular_layout": [14, 73], "circumfer": 198, "circumst": [297, 306, 386, 518], "citat": [296, 315], "cite": [165, 315, 323, 336, 337, 338, 339, 340, 465, 528, 795, 796, 797, 801, 802, 803, 804], "ckdtree": 297, "cl": 257, "claim": 186, "clair": [208, 279, 288, 314], "clamp": [329, 556, 557, 850, 905], "clarifi": [282, 294, 306, 312, 316], "clariti": [132, 280, 313, 955], "clark": [279, 296, 314, 643], "class": [7, 9, 14, 15, 34, 35, 36, 42, 45, 87, 97, 116, 123, 124, 143, 144, 165, 168, 170, 177, 179, 185, 193, 194, 196, 199, 200, 203, 224, 230, 231, 234, 245, 248, 252, 262, 273, 274, 276, 280, 284, 285, 286, 287, 288, 290, 291, 293, 294, 296, 297, 298, 300, 301, 302, 303, 304, 305, 307, 310, 312, 315, 322, 324, 325, 326, 327, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 361, 376, 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689, 704, 781, 896, 952], "clean_eog_ecg": 290, "clean_from_arrai": 189, "clean_nam": [288, 571], "clean_raw": 329, "cleaner": [189, 231], "cleanli": [108, 197], "cleanup": [318, 850], "clear": [30, 103, 142, 146, 168, 185, 229, 233, 235, 239, 241, 242, 254, 257, 291, 315, 318, 334, 337, 338, 342, 361, 376, 556, 557, 609, 663, 837, 850, 883], "clear_glyph": 850, "clearer": [295, 297, 305, 347], "clearli": [30, 47, 172, 180, 194, 220, 232, 234, 236, 238, 275], "clemen": [93, 141, 280, 282, 283, 285, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 305, 306, 307, 309, 310, 311, 312, 313, 314, 970], "clench": [110, 234], "clerc": [146, 279], "clf": [34, 35, 36, 37, 38, 39, 41, 44, 225, 284, 504], "clf_csp": 225, "click": [144, 161, 170, 178, 179, 184, 189, 209, 220, 229, 234, 247, 248, 271, 282, 285, 288, 290, 295, 296, 302, 303, 304, 312, 313, 315, 318, 324, 334, 337, 338, 339, 340, 342, 346, 352, 353, 489, 496, 556, 557, 642, 643, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 851, 865, 873, 882, 883, 884, 886, 888, 890, 891, 895, 899, 904, 905, 906, 907, 908, 912, 913, 914, 916, 957, 964], "clickableimag": [14, 144, 971], "client": [303, 304, 315, 965], "cliff": [279, 336, 337, 338, 339, 340, 795, 796, 797, 801, 802, 803, 804], "clike": 300, "clim": [31, 33, 36, 48, 52, 68, 69, 73, 75, 80, 81, 84, 85, 133, 138, 159, 163, 164, 174, 203, 205, 207, 208, 209, 240, 253, 265, 266, 267, 275, 294, 296, 304, 339, 340, 344, 345, 348, 351, 352, 353, 850, 871, 888, 910, 915, 916], "clinic": [34, 98, 99, 107, 141, 167, 179, 225, 229, 233, 234, 279, 323, 326, 337, 338, 610, 642, 643, 651, 652, 658, 681, 696, 801, 831, 834, 972], "clinph": [234, 279, 337, 338, 643, 651, 658, 801, 831, 834], "clip": [98, 200, 248, 294, 311, 329, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 905, 907, 912, 914], "clock": [26, 33, 38, 47, 109, 110, 148, 153, 212, 220, 295, 323, 556, 557, 571, 643, 695, 899, 905], "clockwis": [727, 856], "clone": [307, 315, 492, 499, 957], "close": [48, 87, 98, 126, 140, 146, 149, 168, 170, 172, 177, 179, 186, 188, 200, 220, 229, 230, 233, 234, 236, 237, 240, 248, 254, 257, 262, 275, 287, 296, 305, 310, 313, 315, 326, 335, 337, 338, 339, 340, 342, 343, 417, 433, 456, 512, 532, 548, 556, 557, 643, 661, 672, 765, 790, 799, 800, 805, 806, 818, 828, 850, 857, 858, 880, 882, 899, 905, 908, 925, 952, 968, 971], "close_3d_figur": [14, 971], "close_all_3d_figur": [14, 971], "closer": [30, 50, 67, 138, 169, 186, 239, 257, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 743, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 907, 912, 914], "closest": [52, 172, 185, 186, 245, 272, 296, 305, 326, 332, 337, 338, 339, 340, 343, 350, 556, 557, 791, 799, 800, 805, 806, 850, 870, 884], "cloud": [199, 318], "cloughtocher2dinterpol": [334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 907, 912, 914], "clu": [265, 266, 267, 787], "clu_idx": 262, "cluster": [21, 36, 53, 127, 131, 141, 193, 258, 263, 264, 268, 269, 272, 279, 286, 287, 288, 293, 294, 296, 300, 301, 303, 304, 305, 337, 339, 340, 342, 348, 349, 350, 392, 428, 435, 512, 530, 556, 609, 610, 624, 634, 640, 708, 721, 723, 728, 766, 774, 776, 778, 782, 783, 785, 786, 787, 797, 801, 850, 911, 972], "cluster_alpha": 318, "cluster_based_statist": 318, "cluster_ind": 267, "cluster_p_valu": [125, 259, 260, 261, 265, 266, 267], "cluster_pv": [258, 782, 783, 785, 786], "cluster_stat": [262, 318], "cluster_stats_evok": [125, 131, 972], "clusterstat": 318, "clutter": 236, "cl\u00e9ment": [284, 304, 314], "cm": [29, 31, 35, 41, 50, 67, 71, 76, 119, 145, 153, 170, 173, 184, 186, 194, 198, 204, 209, 211, 212, 213, 214, 218, 230, 236, 237, 238, 239, 240, 259, 271, 295, 325, 329, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 409, 411, 413, 556, 557, 566, 598, 670, 883, 886, 888, 913], "cm_normal": 41, "cmap": [30, 35, 36, 39, 41, 42, 45, 48, 67, 98, 129, 130, 136, 138, 141, 144, 145, 149, 151, 164, 171, 188, 210, 224, 225, 239, 257, 259, 260, 261, 262, 271, 310, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 861, 867, 869, 876, 878, 883, 884, 888, 891, 894, 895, 904, 907, 908, 912, 913, 914, 923], "cms_bit": 566, "cms_high": 566, "cmt": 218, "cn": [98, 914], "cn2": 218, "cnorm": [141, 308, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 907, 912, 914], "cnr": 67, "cnt": [90, 217, 280, 284, 290, 291, 309, 326, 518, 564, 570, 699, 965], "co": [31, 48, 96, 185, 231, 239, 252, 279, 323, 325, 326, 416, 515], "coalson": [156, 279, 464], "coars": 76, "cochlear": [279, 685], "code": [19, 22, 26, 27, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 112, 114, 115, 116, 119, 121, 122, 123, 124, 125, 126, 128, 129, 130, 132, 133, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 168, 169, 170, 171, 172, 173, 174, 177, 178, 179, 180, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 198, 199, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 217, 218, 219, 220, 221, 224, 225, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 248, 252, 253, 254, 257, 258, 259, 260, 261, 262, 265, 266, 267, 271, 272, 275, 276, 279, 280, 283, 284, 285, 286, 288, 290, 291, 292, 296, 297, 301, 302, 304, 306, 307, 312, 313, 316, 317, 318, 322, 325, 326, 327, 328, 332, 337, 338, 339, 340, 347, 356, 424, 516, 518, 528, 530, 533, 555, 556, 557, 566, 575, 583, 611, 681, 690, 706, 781, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 831, 832, 833, 834, 850, 882, 884, 886, 892, 906, 952, 955, 961, 962, 965], "codebas": [229, 312, 315, 318, 320, 327], "codec": [310, 574, 699, 705, 850], "codepag": 287, "coef": [44, 45, 224, 225, 507], "coef_": [45, 224, 493, 495, 642], "coeffici": [57, 130, 138, 169, 174, 186, 224, 231, 233, 282, 286, 287, 289, 295, 313, 493, 495, 501, 507, 524, 525, 526, 553, 554, 642, 653, 654, 670, 681, 692, 696, 748, 757, 758, 780, 781, 799, 800, 805, 806, 815, 817, 820, 821, 825, 893], "cog": 625, "cog_err": 625, "cognit": [39, 68, 69, 225, 231, 279, 328, 349, 435, 611, 970], "coh": [254, 798, 878], "coh_signal_gen": 254, "cohen": [99, 148, 279, 289, 652, 816, 818, 828, 869], "coher": [38, 58, 59, 132, 136, 143, 208, 254, 279, 323, 325, 337, 338, 362, 363, 364, 365, 370, 798, 829, 830, 831, 832, 833, 834, 878], "coil": [13, 26, 29, 31, 33, 38, 47, 52, 67, 71, 76, 109, 110, 138, 148, 153, 154, 178, 184, 186, 187, 204, 209, 210, 211, 212, 213, 214, 217, 220, 228, 237, 238, 239, 241, 276, 287, 293, 296, 297, 307, 312, 325, 337, 338, 339, 340, 342, 394, 409, 416, 417, 419, 420, 421, 423, 424, 509, 532, 556, 557, 559, 564, 565, 583, 640, 653, 654, 657, 681, 692, 707, 735, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 844, 875], "coil_def": [31, 138, 323, 326], "coil_def_fnam": 31, "coil_freq": 342, "coil_typ": [197, 323, 342, 559], "coincid": [332, 337], "col": [119, 141, 297, 850], "col_a": [337, 338], "col_b": [337, 338], "col_nam": [141, 342], "col_ord": 141, "col_templ": 141, "colab": 917, "colcal": 342, "cold": [130, 171], "cole": [233, 279, 642, 696], "collabor": [315, 316, 965], "collaps": [143, 206, 347, 511, 801, 802], "collarbon": 237, "collat": 513, "colleagu": 315, "collect": [45, 98, 179, 185, 196, 200, 211, 212, 219, 220, 221, 229, 239, 242, 272, 275, 279, 285, 305, 315, 320, 322, 325, 326, 330, 334, 337, 338, 339, 340, 395, 489, 496, 516, 556, 557, 642, 643, 663, 667, 780, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 866, 876, 884, 891, 895, 907, 912, 914], "colloc": [31, 33, 52, 67, 71, 76, 138, 186, 187, 204, 210, 241, 293, 600], "colon": [257, 329, 462], "color": [29, 34, 35, 36, 37, 38, 39, 45, 47, 48, 64, 65, 71, 73, 74, 75, 76, 80, 81, 85, 98, 109, 110, 125, 126, 130, 133, 141, 142, 143, 144, 145, 149, 151, 160, 161, 163, 164, 165, 169, 170, 172, 177, 178, 179, 184, 188, 194, 196, 198, 199, 200, 203, 204, 205, 206, 209, 211, 213, 214, 224, 225, 228, 229, 231, 232, 235, 239, 240, 241, 246, 247, 248, 254, 262, 267, 270, 271, 272, 275, 276, 280, 283, 285, 286, 288, 289, 290, 291, 293, 294, 295, 296, 297, 303, 305, 306, 307, 308, 311, 312, 313, 325, 333, 334, 335, 337, 338, 339, 340, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 445, 489, 496, 541, 542, 547, 548, 556, 557, 642, 643, 714, 715, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 850, 852, 860, 865, 867, 868, 869, 871, 874, 876, 879, 880, 881, 882, 883, 884, 885, 886, 888, 890, 891, 892, 893, 894, 895, 900, 904, 905, 906, 907, 908, 910, 911, 912, 913, 914, 915, 918, 919, 923, 946, 947], "color_dict": 240, "color_lim": 174, "color_plot": 272, "colorbar": [36, 39, 41, 48, 98, 99, 136, 141, 143, 144, 145, 149, 164, 170, 174, 178, 204, 210, 225, 236, 240, 248, 257, 258, 259, 261, 262, 275, 280, 284, 285, 286, 288, 291, 293, 294, 296, 307, 311, 313, 318, 334, 337, 338, 339, 340, 344, 345, 346, 348, 351, 352, 353, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 850, 866, 869, 871, 876, 877, 878, 883, 884, 888, 889, 891, 895, 904, 907, 910, 912, 913, 914, 915, 916], "colorbar_kwarg": [58, 163, 209, 850], "colorbarbas": 871, "colormap": [36, 50, 84, 138, 141, 142, 145, 151, 164, 170, 188, 207, 236, 272, 275, 284, 285, 286, 293, 294, 297, 305, 311, 312, 315, 334, 337, 338, 339, 340, 344, 345, 346, 348, 351, 352, 353, 489, 496, 556, 557, 642, 643, 658, 787, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 850, 861, 867, 869, 871, 876, 878, 883, 884, 888, 891, 894, 895, 904, 907, 908, 910, 912, 913, 914, 915, 916, 923, 947], "colormaprang": [850, 852, 971], "colorscal": 50, "colorschem": [344, 345, 348, 351, 352, 353, 910, 915], "colort": 947, "colossu": 171, "colour": [130, 204, 307], "columbia": 98, "column": [30, 36, 57, 102, 123, 124, 130, 141, 168, 169, 171, 173, 179, 194, 200, 203, 217, 225, 236, 239, 240, 245, 257, 258, 284, 285, 288, 289, 294, 297, 301, 309, 312, 318, 325, 326, 331, 334, 337, 338, 339, 340, 342, 344, 345, 346, 348, 351, 352, 353, 372, 401, 445, 489, 496, 513, 531, 547, 556, 557, 622, 625, 638, 642, 643, 644, 699, 706, 707, 708, 715, 780, 781, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 884, 891, 892, 895, 903, 904, 907, 912, 942], "column_stack": 252, "columnspac": 275, "com": [23, 30, 33, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 52, 58, 59, 60, 64, 65, 68, 69, 70, 71, 72, 76, 77, 83, 84, 87, 93, 97, 100, 101, 102, 103, 105, 107, 108, 109, 110, 112, 116, 119, 122, 123, 124, 130, 132, 138, 141, 142, 143, 147, 148, 149, 150, 153, 155, 156, 157, 160, 161, 163, 164, 165, 169, 185, 187, 188, 189, 207, 208, 210, 211, 212, 214, 220, 224, 238, 253, 254, 257, 261, 262, 265, 266, 267, 271, 272, 275, 276, 279, 314, 315, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 464, 556, 557, 566, 952, 966], "combat": 257, "combin": [33, 48, 50, 55, 56, 57, 60, 61, 63, 66, 67, 68, 70, 73, 74, 75, 77, 80, 81, 84, 85, 86, 96, 115, 119, 121, 122, 123, 124, 130, 141, 156, 157, 159, 160, 165, 168, 169, 170, 173, 178, 179, 183, 194, 196, 198, 203, 205, 206, 207, 208, 209, 210, 217, 219, 220, 224, 225, 228, 230, 236, 237, 239, 240, 241, 242, 245, 247, 254, 257, 259, 262, 265, 267, 279, 286, 289, 290, 291, 293, 294, 296, 297, 300, 301, 303, 304, 305, 306, 308, 309, 310, 311, 315, 318, 326, 332, 337, 338, 339, 340, 343, 344, 345, 348, 350, 351, 352, 353, 363, 370, 371, 379, 380, 388, 429, 430, 431, 432, 437, 447, 464, 489, 494, 496, 508, 511, 556, 557, 574, 577, 603, 604, 610, 613, 616, 617, 619, 620, 643, 655, 656, 659, 694, 705, 715, 721, 728, 765, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 809, 812, 820, 850, 868, 876, 883, 884, 891, 894, 912, 965], "combine_adjac": [14, 257, 259, 262, 265, 294, 313, 392, 403, 782, 783, 785, 786], "combine_channel": [14, 179, 294, 306, 310, 415], "combine_event_id": [14, 337, 971], "combine_evok": [14, 30, 33, 128, 169, 172, 177, 179, 194, 204, 220, 240, 258, 260, 276, 285, 289, 291, 294, 296, 955], "combine_transform": 163, "combine_xyz": 533, "combined_inst": 388, "come": [187, 203, 209, 217, 218, 231, 232, 234, 236, 247, 258, 272, 276, 285, 296, 297, 315, 323, 325, 326, 343, 348, 448, 582, 603, 668, 708, 957, 962], "comma": [132, 295, 296, 297, 329, 795], "command": [14, 30, 153, 179, 183, 186, 188, 199, 213, 218, 282, 284, 288, 293, 297, 303, 304, 305, 306, 311, 314, 322, 324, 337, 338, 342, 435, 548, 556, 557, 599, 643, 734, 882, 899, 905, 957, 958, 961, 964, 965, 966, 968], "command_lin": [342, 350], "commenc": 316, "comment": [72, 88, 144, 177, 178, 180, 199, 200, 214, 218, 237, 252, 271, 275, 294, 295, 296, 304, 305, 311, 315, 325, 326, 330, 336, 337, 338, 339, 340, 343, 347, 409, 547, 710, 715, 795, 796, 801, 802, 804, 835, 876, 890, 950, 957], "commentari": [231, 279], "commerci": [239, 681], "commissariat": [328, 970], "commissur": [164, 386], "commit": [281, 282, 283, 284, 292, 298, 299, 300, 301, 302, 303, 304, 313, 315, 316, 318], "committ": [281, 282, 283, 284, 285, 292, 298, 299, 300, 301, 302, 303, 304], "common": [28, 43, 46, 53, 58, 59, 60, 69, 70, 95, 104, 144, 151, 163, 177, 179, 183, 186, 188, 190, 193, 200, 218, 221, 231, 233, 234, 235, 236, 239, 240, 245, 246, 254, 266, 272, 276, 279, 302, 303, 307, 309, 315, 318, 323, 325, 326, 327, 337, 338, 339, 340, 342, 350, 386, 391, 402, 429, 438, 449, 489, 514, 539, 545, 556, 557, 573, 577, 640, 643, 659, 724, 728, 738, 795, 796, 797, 950, 952, 955, 972], "common_cov": 60, "common_spatial_pattern": [34, 225], "commonli": [186, 196, 198, 203, 231, 272, 308, 318, 325, 342, 547, 643], "commun": [23, 219, 224, 225, 254, 279, 315, 317, 336, 337, 338, 339, 340, 495, 795, 796, 797, 801, 802, 803, 804, 831, 834, 962], "comodul": [38, 496], "comon": [279, 754], "comp": [98, 197, 289, 342], "comp_num": 955, "compani": [184, 279, 316, 777], "compar": [27, 30, 36, 45, 47, 48, 52, 53, 54, 62, 64, 65, 82, 101, 106, 111, 113, 118, 120, 132, 136, 142, 143, 152, 158, 169, 171, 172, 173, 174, 186, 188, 190, 194, 195, 200, 204, 208, 211, 212, 220, 225, 231, 233, 235, 236, 237, 259, 260, 261, 265, 266, 272, 280, 287, 293, 308, 312, 315, 318, 332, 334, 337, 338, 339, 340, 341, 342, 343, 348, 350, 433, 434, 439, 463, 530, 556, 557, 562, 595, 598, 602, 609, 610, 621, 622, 625, 641, 643, 681, 702, 704, 708, 711, 713, 716, 744, 748, 749, 750, 751, 752, 753, 754, 756, 759, 765, 850, 859, 882, 890, 899, 905, 952, 966, 972], "compare_fiff": [14, 971], "comparison": [21, 26, 53, 57, 64, 111, 125, 126, 130, 141, 152, 158, 179, 183, 185, 195, 204, 211, 212, 220, 231, 236, 240, 262, 265, 266, 267, 271, 272, 279, 285, 286, 307, 322, 326, 348, 349, 435, 643, 646, 682, 721, 779, 783, 784, 966, 972], "compart": [279, 322, 325, 329, 606], "compat": [102, 165, 172, 199, 282, 284, 287, 289, 291, 296, 297, 301, 302, 304, 309, 310, 312, 313, 326, 330, 332, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 394, 437, 447, 462, 470, 495, 497, 500, 502, 503, 504, 525, 527, 528, 548, 556, 557, 616, 643, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 868, 882, 884, 905, 906, 917, 952, 964, 965, 966], "compel": 98, "compens": [26, 27, 33, 38, 47, 53, 56, 57, 61, 64, 65, 66, 67, 70, 74, 76, 77, 80, 81, 83, 84, 85, 86, 87, 106, 107, 109, 110, 113, 114, 115, 130, 145, 148, 149, 153, 168, 171, 177, 200, 204, 206, 207, 209, 212, 213, 220, 221, 231, 238, 241, 257, 258, 275, 276, 279, 283, 284, 285, 288, 289, 294, 295, 297, 301, 302, 307, 309, 332, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 426, 440, 510, 512, 525, 527, 528, 530, 555, 556, 557, 571, 579, 605, 640, 643, 654, 670, 677, 681, 711, 759, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 893, 894, 972], "compensation_grad": [332, 337, 338, 339, 340, 342, 555, 556, 557, 643, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "compensatori": 329, "competit": 225, "comphead": 955, "compil": [199, 682], "complain": 168, "complement": [311, 326], "complementari": [164, 230, 318], "complet": [31, 33, 35, 52, 58, 59, 60, 67, 71, 76, 98, 138, 151, 172, 178, 183, 186, 187, 189, 197, 204, 208, 209, 210, 229, 231, 234, 237, 241, 254, 257, 279, 294, 295, 296, 297, 312, 313, 315, 322, 323, 324, 326, 329, 337, 338, 350, 377, 592, 643, 680, 694, 792, 801, 802, 846, 850, 859, 867, 952, 954, 965], "complete_surface_info": [14, 971], "complex": [34, 58, 63, 143, 163, 165, 221, 234, 257, 279, 280, 289, 294, 298, 305, 306, 309, 312, 315, 323, 325, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 363, 456, 481, 482, 502, 556, 557, 614, 746, 799, 800, 801, 802, 803, 804, 805, 806, 820, 821, 829, 830, 832], "complex128": [195, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557], "compli": [285, 287, 313], "compliant": [311, 318, 776], "complic": [291, 315], "compon": [33, 34, 38, 40, 41, 47, 53, 55, 56, 57, 60, 67, 68, 70, 71, 73, 85, 98, 103, 105, 106, 107, 108, 113, 115, 116, 123, 148, 154, 165, 178, 179, 190, 194, 200, 205, 206, 207, 209, 210, 212, 220, 225, 228, 229, 230, 231, 232, 233, 235, 236, 239, 240, 241, 247, 254, 265, 267, 276, 279, 280, 282, 283, 285, 286, 287, 288, 290, 291, 293, 294, 295, 296, 297, 300, 303, 306, 307, 308, 311, 318, 322, 323, 326, 339, 340, 341, 343, 347, 370, 371, 386, 402, 429, 433, 434, 445, 446, 447, 456, 481, 482, 489, 490, 492, 493, 495, 496, 497, 498, 499, 501, 502, 503, 510, 528, 532, 533, 534, 551, 553, 554, 556, 557, 573, 613, 616, 617, 619, 620, 621, 622, 627, 643, 644, 651, 653, 654, 657, 658, 668, 670, 679, 681, 775, 801, 802, 892, 895, 896, 897, 898, 899, 905, 952, 955, 965, 972], "component_index": 234, "component_ord": [294, 489], "compos": [26, 33, 38, 47, 52, 67, 71, 76, 109, 110, 138, 148, 153, 165, 186, 204, 212, 217, 220, 225, 241, 322], "composit": [38, 217, 225, 326, 344, 345, 348, 351, 352, 353, 850, 910, 915], "comprehens": [197, 225, 245, 257, 259, 315, 316, 489], "compress": [240, 288, 332, 336, 337, 338, 339, 340, 462, 556, 557, 660, 661, 795, 796, 797, 801, 802, 803, 804, 964], "compris": [247, 252, 326, 337, 338, 783, 799, 800, 805, 806], "compromis": [293, 312], "comptuat": 260, "compumed": [326, 406, 570], "comput": [14, 19, 21, 26, 29, 30, 31, 33, 34, 35, 36, 37, 40, 41, 43, 45, 48, 49, 50, 52, 53, 57, 62, 64, 69, 70, 74, 76, 78, 83, 87, 96, 99, 100, 105, 107, 109, 115, 116, 121, 122, 124, 125, 126, 127, 129, 134, 142, 144, 148, 149, 150, 153, 154, 159, 162, 163, 169, 170, 173, 174, 177, 178, 179, 180, 183, 184, 185, 188, 191, 193, 194, 195, 196, 199, 200, 203, 204, 206, 209, 210, 211, 212, 213, 214, 215, 218, 220, 224, 225, 229, 230, 232, 236, 237, 239, 241, 245, 248, 252, 253, 254, 257, 258, 261, 270, 271, 272, 276, 279, 282, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 313, 315, 323, 325, 330, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 353, 355, 357, 358, 361, 362, 363, 364, 365, 367, 370, 371, 372, 373, 375, 376, 378, 389, 390, 392, 394, 399, 403, 416, 417, 418, 419, 428, 429, 430, 431, 432, 433, 434, 435, 438, 439, 440, 445, 446, 447, 456, 489, 490, 493, 494, 495, 496, 497, 501, 505, 508, 518, 523, 528, 530, 532, 533, 534, 539, 545, 547, 551, 552, 553, 554, 556, 557, 562, 565, 570, 571, 573, 596, 599, 600, 601, 603, 604, 605, 606, 609, 610, 611, 612, 613, 614, 615, 616, 617, 619, 620, 621, 622, 623, 624, 625, 626, 627, 640, 641, 643, 644, 647, 650, 651, 653, 654, 655, 656, 657, 660, 669, 670, 677, 679, 698, 700, 701, 702, 703, 708, 711, 712, 713, 715, 716, 723, 725, 728, 730, 732, 734, 736, 738, 742, 743, 744, 749, 750, 751, 752, 753, 754, 755, 756, 759, 762, 764, 765, 766, 767, 768, 769, 770, 775, 776, 777, 778, 781, 782, 783, 785, 786, 790, 791, 792, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 820, 821, 826, 827, 828, 829, 830, 831, 832, 833, 834, 838, 839, 844, 850, 868, 869, 870, 876, 877, 879, 880, 882, 883, 884, 891, 892, 899, 904, 905, 911, 920, 945, 952, 959, 961, 964, 965, 968], "computation": [68, 200, 231, 234, 235, 326, 689], "compute_area": [253, 297, 343], "compute_average_dev_head_t": [14, 109, 293, 312, 647], "compute_bia": 112, "compute_bridged_electrod": [14, 98, 306, 680, 872], "compute_chpi_amplitud": [14, 238, 293, 294, 417, 418], "compute_chpi_loc": [14, 238, 239, 293, 296, 416, 418, 419], "compute_chpi_snr": [14, 238, 297, 310, 416, 875], "compute_covari": [14, 29, 31, 33, 60, 68, 72, 75, 112, 122, 150, 180, 190, 205, 208, 210, 211, 213, 214, 225, 241, 253, 284, 285, 289, 293, 299, 304, 322, 334, 434, 447, 489, 496, 497, 621, 644, 702, 848, 952], "compute_csd": [132, 135, 972], "compute_current_source_dens": [14, 99, 293, 294, 306, 313, 738], "compute_depth_prior": [14, 290, 370, 371, 534, 551, 553, 554, 621, 971], "compute_dev_head_t": [14, 291, 399, 971], "compute_dig_mri_dist": [185, 440], "compute_distance_to_sensor": [14, 48, 295], "compute_em": [14, 42, 285, 303], "compute_epochs_psd": [284, 304], "compute_fine_calibr": [14, 295, 971], "compute_head_po": [13, 14, 109, 238, 239, 293, 311, 417, 420, 681], "compute_maxwell_basi": [14, 296, 309, 971], "compute_mne_inverse_epochs_in_label": [54, 82, 972], "compute_mne_inverse_raw_in_label": [55, 82, 972], "compute_mne_inverse_volum": [56, 82, 972], "compute_morph_matrix": [287, 289], "compute_native_head_t": [14, 163, 187, 210, 294, 386], "compute_orient_prior": [14, 533, 971], "compute_proj_": 346, "compute_proj_ecg": [14, 174, 235, 236, 287, 296, 312, 322, 660, 671], "compute_proj_eog": [14, 220, 235, 236, 287, 290, 296, 312, 322, 661, 672], "compute_proj_epoch": [14, 220, 235, 236, 290, 311, 431, 432], "compute_proj_evok": [14, 26, 235, 311, 430, 432], "compute_proj_hfc": [14, 29, 241, 309], "compute_proj_raw": [14, 235, 236, 290, 311, 326, 430, 431], "compute_psd": [26, 99, 103, 138, 161, 165, 168, 170, 171, 194, 195, 211, 214, 220, 228, 230, 232, 236, 238, 240, 241, 248, 270, 271, 272, 307, 308, 309, 311, 312, 337, 338, 339, 340, 494, 556, 557, 643, 799, 805, 820, 884, 895, 897, 906], "compute_rank": [14, 29, 60, 290, 294, 297, 334, 497, 877], "compute_rank_invers": [14, 971], "compute_raw_covari": [14, 68, 116, 138, 190, 212, 220, 230, 284, 286, 293, 322, 334, 429, 621, 702, 848], "compute_raw_psd": [284, 304], "compute_sm": [14, 313, 971], "compute_source_morph": [14, 66, 69, 70, 162, 186, 188, 208, 209, 265, 266, 267, 289, 293, 294, 295, 297, 305, 322, 344, 348, 349, 352, 353, 718, 910, 916], "compute_source_psd": [14, 137, 138, 286, 289, 311, 617], "compute_source_psd_epoch": [14, 133, 135, 294, 616, 972], "compute_tfr": [58, 141, 143, 194, 259, 260, 261, 262, 271, 280, 312, 337, 338, 339, 340, 556, 557, 795, 796, 797, 801, 802, 803, 804, 832, 833, 834, 971], "compute_vol_morph_mat": [70, 295, 349, 435], "compute_volume_registr": [14, 297, 305, 307, 838, 839], "compute_whiten": [14, 290, 296, 297, 304, 971], "con": [228, 231], "concat": [220, 489], "concaten": [41, 98, 103, 109, 141, 165, 179, 196, 217, 220, 233, 235, 245, 272, 285, 286, 287, 288, 297, 298, 303, 304, 305, 311, 313, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 436, 437, 438, 489, 498, 553, 556, 557, 646, 662, 670, 681, 759, 894], "concatenate_epoch": [14, 220, 285, 286, 287, 289, 294, 297], "concatenate_ev": [14, 971], "concatenate_raw": [14, 34, 35, 36, 109, 141, 220, 285, 286, 287, 297, 303, 309, 323, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 436, 437, 556, 557, 564, 670, 681], "concatenatechannel": 282, "concatenc": 331, "conceiv": 326, "concentr": [30, 219, 235, 240, 253, 293, 494, 616, 617, 683, 688, 809, 812, 820, 884], "concept": [186, 204, 257, 279, 325, 327, 955], "conceptu": [141, 179, 231, 234, 279], "concern": [199, 233, 257, 578, 670, 706, 710], "concis": [296, 305], "conclud": [231, 261], "conclus": [231, 259, 279], "concret": [130, 171, 172], "cond": [36, 66, 72, 85, 88, 128, 130, 178, 262, 267, 330], "cond1": 955, "cond2": 955, "cond_tag": 36, "conda": [163, 164, 189, 289, 315, 318, 957, 958, 960, 961, 963, 966], "conda_prefix": 315, "condit": [27, 36, 37, 42, 43, 46, 53, 56, 57, 61, 64, 65, 66, 67, 70, 71, 77, 84, 85, 86, 87, 88, 107, 114, 115, 116, 123, 125, 128, 139, 141, 148, 149, 152, 154, 158, 168, 169, 170, 171, 172, 173, 177, 178, 181, 193, 194, 196, 204, 205, 206, 207, 208, 209, 212, 213, 220, 225, 231, 240, 246, 252, 257, 258, 259, 262, 263, 264, 265, 266, 267, 270, 279, 285, 290, 294, 295, 296, 297, 300, 303, 304, 305, 306, 310, 315, 318, 322, 323, 325, 326, 330, 337, 338, 339, 340, 342, 428, 429, 492, 499, 505, 511, 556, 608, 633, 640, 644, 654, 670, 681, 696, 708, 710, 711, 712, 775, 776, 781, 782, 783, 785, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 824, 876, 890, 955, 972], "condition1": [125, 265], "condition2": [125, 265], "condition_a": 252, "condition_b": 252, "conds_data": 330, "conds_we_care_about": 194, "conduct": [98, 99, 130, 179, 186, 220, 257, 258, 259, 261, 279, 293, 306, 315, 317, 322, 325, 326, 329, 599, 606, 663, 751, 756], "conductor": [33, 52, 67, 71, 76, 138, 184, 186, 187, 204, 210, 241, 287, 325, 326, 378, 532, 606, 743, 868], "conductormodel": [14, 29, 31, 71, 138, 186, 211, 212, 213, 214, 325, 334, 337, 338, 339, 340, 342, 346, 378, 386, 489, 496, 532, 556, 557, 599, 600, 605, 606, 642, 643, 658, 700, 743, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 868, 869, 876, 884, 886, 888, 891, 892, 895, 902, 904, 906, 907, 908, 912, 914, 939], "cone": 911, "conf": [204, 315, 335], "confer": [111, 172, 279, 373, 513, 643, 954], "confid": [141, 142, 170, 173, 179, 194, 204, 236, 287, 297, 335, 342, 643, 773, 799, 800, 805, 806, 876, 897, 953], "config": [196, 199, 217, 284, 291, 294, 307, 309, 312, 315, 329, 330, 337, 338, 451, 453, 454, 455, 456, 458, 459, 460, 462, 463, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 530, 531, 537, 538, 548, 556, 557, 569, 633, 643, 720, 730, 733, 737, 850, 860, 882, 899, 905], "config_fnam": 569, "config_kei": 462, "config_opt": 285, "config_path": 538, "configur": [14, 193, 196, 201, 202, 219, 236, 245, 262, 279, 305, 309, 317, 318, 323, 326, 337, 338, 456, 462, 489, 490, 491, 492, 494, 496, 497, 498, 499, 500, 502, 503, 504, 509, 537, 538, 548, 556, 557, 583, 621, 631, 643, 644, 655, 656, 737, 794, 845, 850, 882, 899, 905, 918, 919, 920, 952, 972], "confin": [37, 73, 186, 261, 326, 363], "confirm": [48, 73, 98, 199, 219, 230, 234, 242, 315, 326], "confirmatori": 258, "conflict": [286, 343, 957, 962], "conform": [188, 219, 294, 326, 331], "confound": [98, 179, 643], "confus": [36, 41, 165, 172, 221, 315, 754], "confusion_matrix": [41, 165], "congedo": [279, 489], "conj": [58, 370, 371], "conjug": 294, "conjunct": [144, 257, 318, 332, 337, 338], "connect": [14, 25, 36, 64, 73, 98, 188, 194, 199, 242, 254, 257, 276, 279, 284, 287, 288, 290, 291, 293, 294, 295, 296, 297, 300, 301, 303, 306, 313, 314, 343, 362, 364, 370, 371, 451, 685, 774, 782, 783, 785, 786, 791, 872, 958, 964, 965, 968], "connectom": 965, "connector": 303, "conpi": 965, "consecut": [174, 196, 265, 287, 344, 345, 348, 351, 352, 353, 530, 602, 645, 646], "consensu": [254, 316], "consequ": [179, 190, 197, 239, 304, 326, 430, 431, 432, 518, 529, 630, 952], "consequenti": 235, "conserv": [60, 98, 174, 257, 304, 651, 743, 850], "consid": [27, 30, 31, 33, 110, 122, 130, 133, 137, 138, 141, 165, 169, 172, 180, 184, 187, 189, 190, 194, 212, 213, 214, 221, 225, 228, 229, 230, 231, 233, 234, 237, 239, 240, 241, 257, 258, 259, 262, 265, 267, 272, 284, 290, 297, 305, 307, 312, 315, 316, 317, 318, 325, 332, 336, 337, 338, 339, 340, 342, 343, 344, 345, 347, 348, 351, 352, 353, 360, 370, 371, 383, 393, 411, 429, 433, 434, 446, 447, 489, 496, 497, 510, 519, 520, 521, 522, 524, 530, 537, 553, 554, 556, 557, 566, 573, 575, 581, 589, 638, 643, 645, 646, 651, 653, 654, 658, 660, 662, 664, 666, 669, 670, 673, 679, 681, 686, 705, 707, 711, 755, 764, 765, 766, 768, 769, 782, 783, 785, 786, 795, 796, 797, 800, 801, 802, 803, 804, 807, 808, 809, 810, 811, 812, 813, 850, 865, 874, 882, 885, 886, 898, 905, 957], "consider": [30, 109, 128, 179, 230, 231, 234, 241, 253, 262, 279, 287, 318, 326, 347, 664, 781, 965], "consist": [30, 36, 69, 98, 105, 141, 153, 185, 186, 189, 196, 198, 203, 211, 218, 219, 220, 225, 229, 230, 231, 233, 234, 238, 257, 259, 260, 279, 284, 285, 286, 287, 288, 291, 293, 294, 295, 297, 303, 304, 306, 307, 308, 312, 313, 316, 318, 322, 323, 325, 326, 337, 338, 339, 340, 350, 354, 395, 444, 556, 557, 568, 607, 643, 651, 658, 662, 746, 747, 780, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809], "consol": [179, 305, 310, 962], "consonantvowelproport": [130, 171], "constant": [169, 184, 188, 198, 225, 228, 231, 241, 272, 288, 290, 291, 323, 325, 326, 332, 337, 338, 339, 340, 342, 447, 556, 557, 559, 561, 593, 838], "constant_valu": 272, "constitut": 326, "constrain": [31, 36, 38, 39, 41, 45, 65, 67, 84, 90, 98, 99, 100, 101, 119, 136, 138, 143, 144, 149, 172, 174, 188, 194, 200, 203, 204, 206, 207, 208, 209, 211, 224, 231, 232, 235, 236, 239, 240, 241, 254, 257, 259, 260, 261, 262, 271, 279, 295, 297, 311, 325, 326, 332, 337, 338, 366, 367, 368, 369, 370, 371, 435, 660, 818, 828, 952, 959, 965], "constraint": [57, 87, 186, 194, 206, 224, 237, 279, 287, 337, 338, 360, 372, 532, 621, 883], "constrict": 242, "construct": [45, 68, 97, 132, 168, 172, 190, 196, 206, 208, 211, 212, 217, 220, 225, 231, 234, 235, 236, 239, 254, 257, 271, 272, 284, 285, 287, 289, 291, 296, 312, 322, 325, 326, 337, 338, 339, 340, 344, 345, 348, 350, 351, 352, 353, 357, 358, 370, 387, 435, 513, 524, 525, 527, 528, 556, 557, 658, 705, 738, 743, 744, 781, 790, 801, 802, 808, 811, 865, 871, 905, 910, 916], "construct_iir_filt": [14, 231, 285, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 491, 500, 525, 527, 528, 556, 557, 655, 656], "constructor": [39, 116, 168, 170, 179, 193, 194, 200, 230, 232, 235, 247, 252, 255, 285, 286, 290, 301, 303, 305, 307, 315, 318, 332, 344, 345, 348, 351, 352, 353, 555, 644, 660, 797, 910, 915, 952], "consult": [91, 231, 235, 315, 316, 322, 326, 681, 952, 964], "consum": [232, 297, 347, 653, 788], "consumpt": [220, 288, 296, 305, 339, 340, 506, 886], "contact": [53, 106, 163, 166, 193, 228, 297, 305, 306, 309, 312, 313, 315, 323, 406, 676], "contain": [5, 30, 42, 44, 53, 57, 64, 67, 69, 79, 90, 102, 108, 116, 123, 130, 137, 141, 143, 145, 157, 165, 168, 171, 172, 174, 177, 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642, 643, 644, 646, 648, 650, 658, 659, 663, 664, 669, 670, 676, 677, 678, 680, 681, 685, 687, 693, 694, 698, 699, 700, 701, 702, 703, 705, 706, 707, 708, 710, 711, 712, 716, 719, 722, 724, 725, 727, 733, 735, 737, 738, 742, 743, 749, 750, 751, 752, 753, 754, 755, 756, 757, 760, 762, 763, 771, 773, 775, 780, 782, 783, 785, 786, 787, 790, 791, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 814, 817, 825, 829, 830, 832, 833, 842, 850, 861, 868, 869, 870, 871, 876, 879, 880, 883, 884, 885, 886, 888, 889, 891, 892, 893, 895, 901, 904, 907, 908, 909, 910, 911, 912, 914, 915, 916, 942, 945, 947, 948, 950, 952, 955, 958], "contamin": [109, 231, 234, 279, 643], "content": [36, 53, 134, 186, 194, 197, 200, 231, 232, 235, 240, 248, 271, 279, 296, 303, 306, 308, 312, 315, 325, 337, 338, 341, 347, 463, 464, 521, 592, 859, 876, 883, 952], "context": [45, 68, 145, 199, 200, 203, 225, 231, 257, 291, 305, 316, 337, 338, 339, 340, 343, 344, 345, 347, 348, 351, 352, 353, 355, 429, 430, 432, 434, 489, 492, 499, 502, 505, 506, 532, 545, 547, 556, 557, 601, 604, 605, 611, 616, 617, 626, 627, 632, 643, 648, 655, 656, 742, 743, 745, 746, 747, 759, 782, 783, 784, 785, 786, 795, 797, 799, 801, 803, 805, 807, 808, 809, 810, 811, 812, 820, 821, 829, 830, 831, 832, 833, 844, 845, 852, 882, 884, 887, 899, 905, 906, 930, 936, 937, 964], "contextlib": 844, "contextmanag": 844, "contigu": [26, 29, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 60, 68, 101, 102, 105, 110, 111, 112, 116, 128, 142, 143, 144, 150, 161, 164, 169, 172, 174, 179, 214, 225, 232, 233, 234, 236, 239, 240, 241, 242, 261, 262, 343], "continu": [43, 45, 46, 47, 53, 127, 131, 168, 170, 173, 176, 179, 189, 196, 217, 225, 226, 227, 228, 230, 231, 234, 235, 239, 243, 246, 250, 252, 257, 270, 279, 287, 296, 297, 300, 302, 313, 315, 316, 318, 322, 323, 325, 331, 337, 338, 339, 340, 342, 420, 428, 432, 434, 438, 489, 495, 496, 497, 501, 529, 530, 556, 557, 571, 577, 578, 591, 602, 603, 640, 642, 643, 646, 655, 699, 704, 779, 780, 781, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 827, 876, 888, 895, 897, 972], "continuum": [30, 302, 323], "contour": [99, 130, 149, 186, 200, 271, 286, 287, 294, 303, 311, 329, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 677, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 852, 869, 870, 884, 887, 888, 891, 895, 904, 907, 912, 914, 971], "contourset": 914, "contra": 37, "contract": [110, 316], "contralater": [53, 106, 113, 123, 179, 237, 342, 398, 563, 735, 972], "contralateral_referenc": [95, 113, 972], "contrast": [30, 33, 116, 125, 128, 177, 179, 194, 198, 237, 254, 257, 258, 265, 270, 271, 298, 312, 318, 323, 336, 337, 338, 339, 340, 568, 795, 796, 797, 801, 802, 803, 804, 955], "contribut": [38, 45, 71, 96, 177, 179, 208, 259, 262, 279, 286, 287, 288, 289, 293, 294, 295, 296, 297, 313, 314, 316, 317, 323, 328, 337, 338, 509, 518, 659, 750, 957, 962], "contributor": [26, 27, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 52, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 112, 114, 115, 116, 119, 121, 122, 123, 124, 125, 126, 128, 129, 130, 132, 133, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 168, 169, 170, 171, 172, 173, 174, 177, 178, 179, 180, 183, 184, 185, 186, 187, 188, 189, 190, 194, 195, 196, 197, 198, 199, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 220, 224, 228, 229, 230, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 248, 252, 253, 254, 257, 258, 259, 260, 261, 262, 265, 266, 267, 271, 272, 275, 276, 279, 280, 294, 295, 296, 297, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 318, 952, 962, 965], "control": [31, 37, 45, 48, 52, 58, 59, 60, 64, 67, 68, 73, 74, 76, 87, 123, 138, 143, 149, 162, 168, 177, 178, 184, 194, 196, 199, 200, 206, 207, 209, 210, 217, 220, 225, 230, 231, 232, 234, 235, 236, 239, 240, 241, 247, 253, 254, 257, 265, 275, 276, 286, 287, 288, 290, 291, 293, 294, 296, 297, 305, 306, 307, 308, 309, 311, 316, 318, 323, 326, 331, 332, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 373, 375, 377, 378, 379, 380, 381, 382, 383, 386, 387, 388, 390, 391, 404, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 441, 442, 445, 446, 447, 448, 449, 451, 452, 453, 454, 455, 456, 458, 459, 460, 461, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 491, 492, 494, 496, 497, 499, 500, 502, 505, 506, 507, 508, 510, 514, 518, 519, 520, 521, 522, 523, 524, 525, 527, 528, 529, 530, 532, 533, 534, 539, 540, 544, 545, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 597, 598, 599, 600, 601, 602, 604, 605, 606, 610, 611, 612, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 634, 635, 636, 639, 643, 645, 646, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 669, 670, 671, 672, 674, 675, 676, 677, 678, 679, 681, 682, 684, 685, 688, 689, 690, 693, 694, 695, 696, 700, 701, 702, 703, 704, 705, 707, 708, 709, 711, 712, 713, 715, 716, 717, 718, 719, 723, 724, 725, 726, 727, 728, 729, 730, 732, 733, 734, 735, 738, 742, 743, 745, 746, 747, 748, 758, 759, 762, 764, 765, 766, 767, 768, 769, 770, 782, 783, 784, 785, 786, 790, 791, 792, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 815, 818, 819, 820, 821, 824, 825, 828, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 845, 849, 850, 852, 859, 866, 868, 871, 877, 878, 880, 883, 884, 885, 886, 887, 892, 895, 896, 897, 898, 902, 903, 905, 906, 908, 909, 910, 911, 915, 916, 917, 918, 921, 923, 931, 932, 933, 934, 935, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 961, 964], "conv": 189, "conv_dir": 189, "convei": 315, "conveni": [30, 37, 71, 98, 102, 104, 165, 170, 179, 186, 189, 194, 197, 199, 200, 209, 225, 228, 231, 235, 236, 246, 252, 257, 258, 259, 262, 265, 266, 267, 271, 279, 285, 286, 290, 296, 301, 305, 311, 315, 322, 323, 326, 337, 338, 339, 340, 341, 347, 555, 556, 557, 563, 592, 616, 643, 651, 660, 661, 735, 738, 740, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 865, 962, 963], "convent": [168, 188, 198, 200, 217, 219, 235, 236, 246, 279, 307, 310, 326, 329, 342, 377, 398, 408, 575, 689, 712, 728, 818, 827, 828, 850], "convention": 188, "converg": [61, 66, 72, 85, 200, 207, 234, 288, 308, 326, 551, 610, 643, 809, 820], "convergencewarn": 234, "convers": [30, 184, 196, 218, 220, 221, 229, 231, 232, 288, 290, 293, 296, 302, 305, 308, 326, 331, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 556, 557, 583, 664, 690, 782, 783, 785, 786, 795, 796, 797, 801, 802, 803, 804], "convert": [31, 33, 48, 53, 60, 61, 66, 67, 68, 72, 73, 74, 75, 80, 81, 84, 85, 96, 102, 104, 119, 121, 123, 138, 141, 151, 152, 158, 164, 165, 168, 169, 170, 171, 172, 177, 178, 179, 184, 186, 188, 189, 197, 199, 205, 206, 207, 210, 217, 218, 219, 220, 221, 225, 230, 231, 235, 241, 242, 245, 247, 253, 254, 258, 262, 265, 266, 267, 271, 280, 285, 286, 288, 289, 290, 291, 293, 297, 305, 306, 312, 315, 318, 323, 326, 331, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 348, 351, 352, 353, 356, 363, 377, 386, 387, 412, 425, 439, 441, 491, 495, 500, 501, 504, 518, 525, 527, 528, 545, 549, 550, 552, 556, 557, 568, 569, 579, 583, 597, 604, 664, 668, 683, 684, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 841, 843, 849, 851, 855, 868, 920, 922, 959, 962, 965, 972], "convert_flash_mri": [14, 306, 310, 326, 381, 971], "convert_forward_solut": [14, 31, 48, 73, 74, 75, 80, 81, 96, 186, 206, 253, 287, 290, 326, 605, 713, 944], "convert_unit": [14, 151, 221, 242, 312], "convex": [66, 72, 85, 279, 294, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 907, 912, 914], "convinc": [98, 179], "convolut": [224, 231, 272, 297, 337, 338, 339, 340, 502, 556, 557, 626, 627, 795, 797, 801, 803, 808, 811, 818, 827, 828, 829, 830, 831, 832, 833, 965], "convolv": [132, 140, 231, 257, 272, 495, 502], "coo_arrai": [764, 765, 766, 767, 768, 769, 770, 774], "coolwarm": 144, "coord": [52, 67, 69, 71, 76, 138, 155, 186, 187, 188, 189, 204, 237, 417, 532, 850, 851, 922, 950], "coord_as_vert": 850, "coord_fram": [29, 50, 138, 147, 153, 154, 155, 163, 164, 184, 185, 186, 187, 197, 198, 206, 210, 211, 212, 214, 219, 239, 335, 341, 342, 350, 386, 399, 404, 510, 561, 593, 653, 654, 670, 681, 850, 868, 880], "coord_tran": 342, "coordin": [26, 29, 31, 33, 37, 38, 47, 48, 52, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 80, 81, 83, 84, 85, 86, 87, 96, 99, 109, 110, 119, 121, 122, 123, 124, 133, 136, 137, 138, 139, 144, 148, 151, 153, 154, 159, 163, 164, 178, 186, 187, 191, 192, 193, 194, 198, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 217, 218, 220, 221, 225, 237, 239, 241, 242, 253, 254, 265, 267, 275, 279, 282, 286, 287, 288, 289, 291, 293, 294, 295, 296, 297, 300, 305, 306, 307, 308, 323, 325, 334, 335, 337, 338, 339, 340, 341, 342, 343, 346, 350, 352, 353, 376, 378, 379, 380, 386, 389, 390, 395, 399, 402, 404, 405, 407, 409, 413, 439, 440, 442, 466, 489, 496, 508, 510, 532, 540, 548, 549, 550, 553, 556, 557, 561, 565, 569, 570, 583, 591, 593, 601, 606, 642, 643, 654, 658, 663, 670, 681, 713, 723, 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896, 904, 906, 907, 909, 912, 943, 945, 952, 957, 972], "correct_overlap": 644, "correct_overlap_": 644, "correct_response_count": 172, "corrected_tddr": 104, "correctli": [60, 69, 70, 178, 218, 219, 233, 267, 282, 285, 286, 287, 288, 289, 291, 293, 294, 295, 296, 297, 305, 306, 307, 308, 309, 311, 312, 313, 322, 323, 326, 337, 338, 339, 340, 406, 522, 556, 557, 664, 668, 867, 886, 957, 958, 964], "corregistr": 322, "correl": [33, 38, 44, 48, 52, 70, 103, 132, 174, 190, 225, 233, 234, 239, 257, 258, 261, 279, 287, 290, 323, 326, 342, 349, 417, 429, 435, 495, 496, 501, 643, 658, 681, 779, 784, 952], "correspond": [30, 33, 42, 57, 74, 76, 88, 100, 102, 105, 116, 121, 123, 132, 141, 149, 165, 171, 172, 179, 183, 184, 186, 188, 196, 198, 200, 203, 208, 209, 210, 217, 220, 225, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 245, 246, 247, 248, 259, 261, 262, 267, 272, 284, 285, 303, 306, 309, 315, 318, 323, 325, 326, 330, 332, 334, 335, 336, 337, 338, 339, 340, 343, 344, 345, 346, 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850, 952, 972], "corrupted_data": 104, "corrupted_od": 104, "corsag": 171, "cortex": [50, 52, 57, 63, 67, 69, 78, 79, 80, 81, 84, 87, 123, 138, 145, 156, 163, 173, 179, 186, 194, 206, 209, 219, 224, 234, 240, 254, 279, 297, 322, 323, 325, 326, 344, 345, 348, 350, 351, 352, 353, 464, 495, 685, 698, 760, 850, 910, 915], "cortic": [37, 50, 52, 53, 57, 58, 67, 69, 84, 106, 108, 113, 119, 123, 138, 142, 152, 158, 183, 186, 191, 193, 194, 200, 203, 206, 208, 215, 220, 229, 254, 257, 266, 279, 287, 290, 293, 294, 297, 302, 308, 310, 318, 323, 325, 329, 334, 340, 341, 342, 343, 344, 345, 348, 349, 350, 351, 352, 353, 355, 357, 358, 370, 371, 435, 439, 465, 523, 534, 551, 553, 554, 556, 595, 610, 611, 612, 613, 614, 617, 621, 626, 627, 640, 641, 659, 698, 701, 702, 713, 716, 723, 751, 754, 756, 757, 758, 759, 760, 791, 850, 863, 911, 957, 959, 962, 965, 972], "cortical_signal_suppress": [14, 96, 297], "cortical_waveform": 96, "cortico": 38, "cortivis": 219, "cos2": [119, 122, 123, 124, 254, 745, 746, 747, 759], "cos_t": 231, "cosin": [87, 119, 231, 252, 326, 749], "cosine_scor": [14, 119], "cosmet": 315, "cost": [231, 318, 326, 344, 345, 348, 351, 352, 353, 495, 501, 643, 782, 783, 785, 786, 850, 910, 915], "cotroneo": [296, 314], "cottrel": [36, 279], "could": [30, 54, 55, 56, 64, 65, 67, 69, 97, 102, 112, 133, 168, 172, 179, 188, 189, 194, 197, 199, 200, 203, 205, 207, 208, 209, 220, 228, 230, 231, 234, 235, 236, 237, 239, 245, 246, 247, 252, 257, 258, 265, 267, 272, 280, 282, 284, 285, 288, 290, 291, 294, 295, 296, 297, 305, 306, 307, 308, 309, 310, 312, 313, 315, 316, 318, 337, 338, 339, 340, 342, 343, 347, 348, 370, 456, 481, 482, 488, 510, 512, 516, 532, 556, 557, 558, 566, 643, 646, 659, 661, 664, 671, 672, 695, 775, 854, 859, 938, 952], "council": 328, "count": [30, 48, 98, 100, 163, 168, 170, 179, 199, 240, 247, 257, 260, 261, 265, 267, 280, 293, 296, 297, 304, 309, 310, 311, 331, 332, 337, 338, 339, 340, 370, 371, 429, 433, 434, 443, 444, 445, 446, 447, 489, 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"create_annot": [221, 242, 577], "create_default_subject": [14, 286, 971], "create_ecg_epoch": [14, 228, 230, 234, 236, 284, 285, 286, 288, 290, 655, 671], "create_eog_epoch": [14, 33, 200, 228, 230, 233, 234, 236, 286, 287, 289, 296, 324, 656, 672], "create_filt": [14, 231, 232, 286, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 527, 528, 556, 557, 893], "create_info": [14, 35, 40, 41, 45, 91, 93, 98, 143, 155, 187, 217, 219, 252, 289, 293, 304, 338, 340, 342, 489, 496, 557, 712, 800, 806], "create_raw": 449, "create_stamp": 950, "creation": [172, 177, 183, 196, 230, 247, 282, 284, 286, 287, 293, 294, 296, 302, 305, 306, 312, 326, 329, 331, 334, 337, 338, 347, 350, 382, 488, 643, 655, 656], "creator": 342, "credit": 315, "crimson": [262, 850], "cristen": [279, 685], "crist\u00f3bal": [286, 287, 290, 314], "criteria": [13, 111, 168, 194, 230, 235, 236, 240, 280, 288, 330, 337, 338, 347, 638, 643, 801, 802], "criterion": [66, 284, 287, 610, 643, 952], "critic": [153, 179, 188, 199, 206, 213, 231, 239, 257, 259, 262, 323, 681, 740, 848, 955], "crochier": [279, 336, 337, 338, 339, 340, 795, 796, 797, 801, 802, 803, 804], "croft": [233, 279, 642], "crone": [224, 279, 495], "crop": [26, 29, 31, 34, 35, 36, 38, 47, 56, 57, 58, 59, 60, 61, 64, 66, 68, 70, 71, 72, 77, 85, 86, 102, 103, 105, 109, 110, 111, 112, 138, 141, 145, 165, 168, 169, 170, 174, 177, 179, 195, 196, 200, 204, 207, 208, 209, 211, 212, 213, 214, 228, 229, 230, 232, 234, 235, 236, 237, 238, 239, 241, 245, 246, 247, 248, 254, 258, 259, 265, 267, 270, 271, 275, 284, 285, 288, 290, 291, 294, 295, 296, 297, 305, 306, 307, 308, 311, 313, 324, 331, 335, 336, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557, 653, 682, 695, 795, 796, 797, 801, 802, 803, 804, 971], "crop_by_annot": [306, 556, 557, 971], "cropped_screenshot": 275, "cross": [34, 35, 36, 37, 38, 41, 42, 45, 53, 58, 59, 60, 62, 70, 82, 107, 115, 134, 135, 148, 150, 152, 158, 165, 190, 194, 205, 224, 225, 229, 234, 236, 239, 253, 254, 261, 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484, 485, 486, 487, 740, 845, 848, 952], "debugg": [305, 315], "dec": 848, "decai": 272, "decent": 231, "decibel": [337, 338, 339, 340, 348, 556, 557, 616, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 884], "decid": [172, 240, 272, 316, 332, 337, 338, 602, 704, 881], "decim": [29, 31, 37, 38, 39, 44, 45, 50, 59, 60, 67, 68, 132, 138, 141, 186, 189, 190, 194, 200, 209, 211, 214, 225, 232, 234, 239, 258, 259, 260, 261, 262, 271, 284, 285, 286, 287, 289, 290, 291, 293, 294, 297, 302, 303, 306, 310, 313, 322, 326, 329, 332, 336, 337, 338, 339, 340, 343, 344, 345, 347, 348, 351, 352, 353, 382, 488, 502, 510, 530, 556, 557, 583, 602, 626, 627, 643, 660, 661, 704, 707, 763, 781, 795, 796, 797, 801, 802, 803, 804, 808, 811, 827, 829, 830, 831, 832, 833, 834, 850, 870, 882, 905], "decimate_surfac": [14, 293], "decis": [171, 220, 231, 272, 323, 332, 337, 338, 602, 704], "decision_funct": [492, 499], "declar": [257, 316], "declutt": 347, "decod": [14, 40, 42, 45, 46, 47, 180, 193, 194, 196, 224, 226, 227, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 293, 294, 295, 297, 301, 302, 306, 307, 308, 309, 310, 312, 313, 314, 315, 323, 334, 337, 339, 340, 342, 348, 386, 402, 429, 438, 449, 530, 556, 566, 571, 573, 583, 603, 609, 610, 612, 621, 624, 640, 644, 702, 708, 713, 795, 796, 797, 850, 971, 972], "decoding_csp_eeg": [34, 46, 972], "decoding_csp_timefreq": [35, 46, 972], "decoding_rsa_sgskip": [36, 46, 972], "decoding_spatio_temporal_sourc": [37, 46, 972], "decoding_spoc_cmc": [38, 46, 972], "decoding_time_generalization_condit": [39, 46, 972], "decoding_unsupervised_spatial_filt": [40, 46, 972], "decoding_xdawn_eeg": [41, 46, 972], "decompos": [29, 31, 34, 71, 204, 209, 211, 212, 213, 214, 234, 302, 326, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 489, 493, 496, 525, 527, 528, 556, 557, 643, 644, 832], "decomposit": [35, 37, 40, 43, 46, 53, 54, 55, 56, 58, 64, 65, 70, 73, 78, 83, 87, 103, 105, 132, 133, 136, 137, 139, 141, 142, 154, 194, 200, 209, 225, 228, 234, 235, 252, 253, 257, 259, 260, 262, 265, 267, 271, 272, 279, 285, 293, 295, 296, 307, 322, 326, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 489, 496, 497, 502, 503, 523, 556, 557, 571, 603, 624, 643, 658, 679, 795, 797, 801, 803, 808, 811, 821, 827, 829, 830, 831, 832, 833, 965, 972], "decompress": 462, "deconvolut": [279, 643, 679], "decor": [199, 846, 848], "decoupl": 304, "decreas": [48, 81, 141, 231, 254, 285, 287, 301, 326, 336, 337, 338, 339, 340, 489, 510, 643, 791, 795, 796, 797, 801, 802, 803, 804, 829, 830, 832, 833, 850], "dedic": [13, 179, 228, 234, 236, 245, 294, 315, 316, 556, 557, 564, 905, 962], "deem": 316, "deep": [141, 165, 173, 186, 209, 231, 279, 296, 326, 337, 338, 339, 340, 361, 489, 490, 492, 493, 495, 496, 497, 498, 499, 501, 502, 503, 556, 557, 640, 641, 644, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 847, 850, 868], "deepcopi": [229, 347, 387], "deeper": [73, 80, 81, 208, 326], "def": [57, 60, 96, 105, 112, 121, 122, 123, 138, 142, 146, 161, 165, 178, 179, 184, 188, 230, 231, 232, 235, 254, 257, 261, 267, 272, 276, 315], "default": [33, 47, 57, 69, 70, 103, 116, 132, 141, 143, 149, 163, 165, 168, 170, 173, 174, 177, 178, 179, 184, 186, 190, 194, 195, 196, 197, 198, 199, 200, 206, 207, 217, 218, 220, 221, 229, 230, 232, 234, 235, 236, 237, 239, 242, 245, 246, 247, 248, 252, 257, 261, 262, 267, 270, 271, 275, 276, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 322, 323, 325, 329, 330, 331, 332, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 373, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 390, 391, 393, 395, 396, 397, 398, 400, 401, 402, 403, 404, 409, 411, 412, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 430, 431, 432, 433, 434, 435, 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917, 918, 921, 931, 932, 933, 934, 935, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952], "default_rng": [98, 260], "default_run": 93, "defect": [189, 297, 305, 329, 382, 440, 508, 539, 701, 730, 732, 945, 952], "defer": 316, "defici": [208, 286, 287, 326, 445, 643], "deficit": [279, 337, 338, 801, 831, 834], "defin": [31, 34, 35, 36, 38, 44, 45, 47, 53, 57, 59, 69, 70, 87, 88, 105, 106, 113, 123, 124, 133, 136, 140, 143, 149, 151, 157, 164, 168, 169, 170, 172, 179, 183, 186, 188, 190, 191, 193, 195, 196, 198, 200, 203, 206, 208, 210, 219, 220, 224, 225, 230, 231, 235, 240, 242, 254, 260, 261, 262, 265, 267, 271, 272, 279, 284, 285, 291, 294, 296, 300, 301, 303, 310, 315, 316, 318, 322, 323, 325, 326, 329, 330, 334, 336, 337, 338, 339, 340, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 353, 357, 358, 363, 370, 371, 386, 391, 394, 408, 409, 429, 435, 439, 462, 468, 489, 495, 496, 512, 514, 515, 518, 522, 524, 544, 547, 556, 557, 563, 570, 593, 595, 596, 604, 610, 611, 612, 613, 614, 617, 621, 626, 627, 629, 640, 642, 643, 644, 646, 647, 657, 658, 668, 669, 679, 698, 703, 708, 743, 746, 747, 748, 751, 754, 756, 757, 758, 759, 760, 767, 770, 782, 783, 784, 785, 786, 790, 791, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 808, 810, 811, 812, 813, 816, 818, 828, 829, 830, 832, 833, 850, 856, 869, 873, 876, 883, 884, 886, 888, 891, 892, 895, 902, 904, 906, 907, 908, 912, 914, 915, 964, 972], "define_target_ev": [14, 97, 113, 157, 972], "definion": 325, "definit": [29, 31, 33, 52, 67, 71, 76, 138, 186, 187, 188, 189, 190, 204, 209, 210, 211, 212, 213, 214, 231, 237, 241, 259, 279, 286, 293, 294, 304, 316, 322, 325, 327, 337, 338, 339, 340, 342, 344, 345, 347, 348, 351, 352, 353, 370, 371, 394, 396, 403, 532, 556, 557, 657, 681, 727, 844, 850], "deflect": [172, 228, 235, 236, 294], "deform": [29, 188, 198, 279], "defusedxml": 312, "deg": [329, 668], "degre": [188, 190, 221, 235, 242, 257, 259, 262, 265, 290, 293, 325, 326, 329, 334, 339, 340, 342, 377, 381, 569, 647, 663, 664, 679, 747, 782, 783, 785, 786, 850, 856, 888, 920, 952, 964], "degrees_of_freedom": 259, "dehaen": [39, 42, 225, 279, 490, 505], "dejan": [262, 279, 782, 783, 785, 786], "del": [29, 31, 33, 44, 59, 67, 68, 72, 73, 74, 75, 76, 80, 81, 138, 142, 164, 165, 168, 170, 173, 177, 194, 200, 205, 207, 208, 209, 211, 212, 214, 220, 225, 231, 234, 242], "del_proj": [168, 177, 228, 230, 235, 236, 237, 286, 337, 338, 339, 340, 556, 557, 971], "delai": [26, 30, 45, 220, 224, 235, 236, 240, 279, 301, 311, 323, 330, 332, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 495, 501, 506, 525, 527, 528, 556, 557, 602, 704, 893], "delaunai": [258, 259, 287, 392], "delayed_lookup": 330, "delays_": [45, 224, 495], "delays_samp": 224, "delays_sec": 224, "delbek": [279, 322], "deledal": [66, 279, 553], "deleg": 316, "delet": [189, 199, 229, 230, 240, 286, 287, 289, 296, 315, 326, 331, 334, 337, 338, 339, 340, 346, 438, 489, 496, 556, 557, 642, 643, 658, 737, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 891, 895, 904, 907, 912, 966, 971], "deleteri": 231, "delgado": [172, 279, 513], "deliber": 316, "delimint": 221, "delimit": [311, 331], "deliv": 31, "deliveri": 194, "delorm": [98, 279, 643, 651], "delosangel": [111, 279, 643], "delpuech": [279, 818, 828, 829, 832], "delta": [141, 165, 231, 337, 338, 339, 340, 553, 556, 557, 626, 799, 800, 805, 806, 884], "demand": [220, 245, 282, 326, 506, 510, 555, 704], "demetr": 293, "demo": [28, 53, 286, 303, 325], "demonstr": [24, 31, 45, 53, 59, 67, 69, 70, 71, 91, 95, 98, 99, 101, 102, 108, 112, 128, 132, 143, 146, 173, 174, 179, 180, 189, 196, 198, 199, 200, 219, 221, 224, 228, 230, 231, 233, 234, 237, 239, 245, 253, 254, 257, 265, 270, 280, 297, 323, 326, 327, 660, 952, 966], "den": [289, 296, 314], "deng": [305, 314], "deni": [33, 37, 39, 42, 47, 52, 59, 68, 97, 107, 130, 138, 142, 143, 149, 150, 156, 160, 161, 179, 190, 225, 261, 262, 267, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 297, 300, 301, 302, 303, 304, 309, 311, 314, 320, 339, 340, 429, 611, 952, 970], "denni": [34, 234, 279, 323, 456], "denois": [53, 106, 113, 225, 282, 288, 334, 337, 339, 340, 342, 429, 434, 497, 509, 530, 532, 556, 606, 640, 644, 654, 689, 708, 883, 972], "denomin": [231, 262, 293, 370, 371, 748, 758, 783, 786, 815], "denot": [217, 225, 247, 325, 326, 345, 351, 353, 679, 751, 754, 756, 776, 778, 798], "dens": [29, 163, 184, 185, 186, 188, 210, 211, 219, 279, 288, 329, 350, 382, 651, 850, 868], "densiti": [26, 53, 58, 59, 60, 96, 103, 104, 106, 107, 113, 134, 135, 148, 161, 165, 170, 171, 188, 189, 194, 200, 211, 214, 219, 225, 228, 229, 230, 232, 236, 238, 252, 254, 270, 271, 279, 285, 288, 293, 302, 305, 306, 307, 308, 312, 313, 323, 325, 326, 334, 337, 338, 339, 340, 342, 343, 348, 363, 370, 400, 434, 447, 494, 530, 556, 557, 600, 605, 609, 616, 617, 621, 624, 640, 643, 651, 652, 669, 683, 684, 688, 700, 708, 715, 742, 798, 799, 800, 805, 806, 807, 808, 809, 810, 811, 812, 813, 819, 820, 821, 844, 850, 852, 868, 878, 884, 887, 897, 906, 920, 972], "deoxyhaemoglobin": [240, 297], "deoxyhemoglobin": [197, 219, 325, 326, 337, 338, 339, 340, 556, 557, 640, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "dep": 966, "depart": 328, "depend": [57, 98, 110, 130, 156, 163, 164, 165, 169, 177, 179, 183, 185, 186, 190, 198, 199, 200, 219, 224, 230, 231, 233, 235, 236, 239, 247, 254, 257, 258, 259, 267, 272, 279, 285, 287, 291, 295, 296, 297, 307, 309, 315, 320, 322, 323, 326, 331, 337, 338, 339, 340, 344, 345, 348, 350, 351, 352, 353, 372, 392, 403, 417, 418, 482, 495, 501, 515, 523, 533, 556, 557, 559, 566, 573, 643, 653, 664, 670, 676, 689, 695, 776, 782, 783, 785, 786, 788, 790, 791, 794, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 860, 873, 875, 876, 882, 883, 886, 899, 905, 952, 957, 958, 961, 964, 965, 966], "depict": [69, 326, 339, 340, 345, 351, 353, 892, 915], "deploi": [200, 952], "deploy": 318, "depr_messag": 315, "deprec": [14, 282, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 318, 329, 386, 607, 801, 902], "deprecationwarn": 307, "depth": [31, 33, 37, 48, 54, 55, 56, 57, 58, 59, 60, 61, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 76, 78, 80, 81, 83, 84, 85, 87, 119, 123, 133, 136, 137, 138, 139, 154, 194, 199, 200, 205, 206, 207, 209, 210, 220, 225, 241, 248, 253, 254, 265, 267, 279, 287, 290, 294, 296, 301, 306, 335, 370, 371, 533, 551, 553, 554, 621, 751, 756, 762], "depth_peel": 918, "depth_prior": 533, "depths_map": 48, "der": [69, 279, 289, 294, 314, 326, 349, 435], "deriv": [31, 58, 59, 60, 72, 99, 138, 153, 156, 168, 172, 177, 184, 196, 214, 229, 241, 257, 258, 270, 279, 285, 287, 294, 306, 326, 342, 440, 643, 688, 713, 944], "derollepot": [297, 314], "desanti": 282, "desc": [190, 235, 346], "desc_prefix": [220, 430, 431], "descend": [150, 190, 205, 290], "descent": [85, 279, 282, 297, 300, 553], "descr": 247, "describ": [30, 39, 42, 103, 128, 142, 146, 177, 179, 184, 186, 190, 193, 194, 196, 197, 198, 199, 200, 217, 221, 224, 228, 230, 235, 236, 237, 239, 240, 246, 247, 254, 255, 258, 263, 272, 279, 296, 316, 318, 322, 325, 326, 339, 340, 370, 428, 429, 435, 489, 497, 510, 513, 521, 556, 557, 570, 642, 643, 644, 681, 717, 744, 764, 765, 766, 767, 768, 769, 770, 816, 818, 821, 828, 892, 898, 952, 957, 971], "descript": [34, 35, 90, 102, 141, 151, 157, 163, 164, 165, 168, 170, 172, 179, 196, 197, 198, 214, 217, 219, 220, 221, 230, 240, 245, 246, 247, 252, 257, 272, 291, 295, 296, 297, 305, 306, 309, 313, 315, 318, 323, 325, 331, 337, 338, 339, 340, 342, 346, 356, 396, 397, 430, 431, 434, 443, 518, 556, 557, 558, 568, 575, 577, 602, 643, 646, 660, 661, 666, 671, 699, 705, 795, 796, 797, 801, 802, 803, 804, 805, 897, 906], "descriptor": [172, 194, 270, 279, 325, 513, 556, 557], "design": [26, 27, 29, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 47, 60, 68, 87, 100, 101, 102, 105, 110, 111, 112, 116, 128, 142, 143, 144, 150, 161, 164, 169, 172, 174, 179, 188, 189, 200, 208, 214, 217, 219, 220, 228, 230, 232, 233, 234, 236, 237, 239, 240, 241, 242, 254, 257, 262, 279, 282, 285, 316, 318, 323, 330, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 417, 463, 466, 491, 500, 524, 525, 527, 528, 556, 557, 566, 568, 570, 573, 574, 575, 581, 586, 589, 642, 644, 681, 688, 695, 705, 776, 780, 814, 825, 905, 936, 937, 952], "design_matrix": [30, 169, 780], "design_mne_c_filt": 231, "desir": [26, 31, 33, 37, 38, 47, 48, 54, 55, 56, 57, 58, 59, 60, 61, 64, 65, 66, 68, 69, 70, 72, 73, 74, 75, 77, 78, 80, 81, 83, 84, 85, 86, 87, 96, 98, 109, 110, 119, 121, 122, 123, 124, 130, 133, 136, 137, 139, 141, 148, 153, 154, 159, 170, 174, 179, 185, 189, 194, 196, 198, 200, 205, 206, 207, 208, 209, 212, 217, 218, 220, 224, 225, 229, 230, 231, 232, 235, 246, 253, 254, 265, 267, 275, 285, 289, 296, 312, 313, 318, 322, 324, 330, 331, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 435, 488, 513, 524, 556, 557, 603, 621, 642, 664, 673, 690, 738, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 836, 850, 915, 952, 964], "desired_fwhm": [818, 828], "desired_sfreq": 232, "desislava": [288, 314], "desktop": [315, 961], "deslauri": [123, 124, 290, 314], "despit": [231, 261], "dest": [350, 352, 353, 836], "dest_comp": 301, "destin": [52, 69, 70, 108, 183, 188, 284, 293, 294, 301, 331, 334, 335, 337, 338, 339, 340, 341, 344, 345, 347, 348, 349, 350, 351, 352, 353, 361, 382, 383, 386, 387, 435, 448, 488, 510, 519, 520, 521, 522, 556, 557, 593, 628, 630, 642, 643, 670, 681, 730, 731, 733, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 835, 836, 837, 894, 939, 940, 941, 942, 943, 944, 945, 948, 949, 950, 951], "destrieux": [123, 183, 279], "desynchron": [141, 271, 279, 323], "detail": [61, 70, 71, 108, 148, 168, 170, 177, 178, 179, 183, 184, 186, 194, 195, 196, 197, 198, 199, 200, 203, 205, 208, 217, 218, 219, 224, 225, 229, 230, 232, 234, 235, 236, 239, 245, 246, 247, 248, 267, 270, 279, 285, 294, 300, 307, 310, 315, 317, 318, 322, 323, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 373, 375, 377, 378, 379, 380, 381, 382, 383, 386, 387, 388, 390, 391, 404, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 441, 442, 445, 446, 447, 448, 449, 451, 452, 453, 454, 455, 456, 458, 459, 460, 461, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 491, 492, 494, 496, 497, 499, 500, 502, 505, 506, 507, 508, 510, 512, 514, 518, 519, 520, 521, 522, 523, 524, 525, 527, 528, 529, 530, 532, 533, 534, 539, 540, 544, 545, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 595, 597, 598, 599, 600, 601, 602, 604, 605, 606, 610, 611, 612, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 634, 635, 636, 639, 642, 643, 645, 646, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 669, 670, 671, 672, 674, 675, 676, 677, 678, 679, 681, 682, 684, 685, 688, 689, 690, 693, 694, 695, 696, 698, 700, 701, 702, 703, 704, 705, 707, 708, 709, 711, 712, 713, 715, 716, 717, 718, 719, 723, 724, 725, 726, 727, 728, 729, 730, 732, 733, 734, 735, 738, 742, 743, 745, 746, 747, 748, 757, 758, 759, 760, 762, 764, 765, 766, 767, 768, 769, 770, 782, 783, 784, 785, 786, 788, 790, 791, 792, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 815, 819, 820, 821, 824, 825, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 845, 849, 850, 852, 859, 867, 868, 869, 876, 877, 880, 883, 884, 885, 886, 887, 890, 891, 892, 894, 895, 896, 897, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 914, 915, 916, 917, 919, 921, 931, 932, 933, 934, 935, 936, 937, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952], "detect": [13, 31, 33, 34, 35, 38, 48, 53, 96, 98, 100, 103, 106, 110, 111, 122, 138, 141, 151, 174, 179, 185, 187, 190, 193, 196, 200, 213, 219, 220, 221, 225, 229, 231, 232, 233, 234, 235, 236, 239, 242, 243, 244, 246, 272, 275, 279, 282, 284, 286, 287, 288, 290, 292, 293, 294, 295, 296, 297, 301, 303, 305, 306, 307, 308, 311, 312, 313, 326, 329, 330, 337, 338, 339, 340, 342, 347, 392, 416, 418, 422, 528, 556, 557, 563, 564, 588, 640, 643, 645, 647, 648, 649, 651, 655, 656, 659, 660, 661, 669, 670, 671, 672, 674, 681, 781, 795, 796, 797, 801, 802, 803, 804, 831, 834, 850, 882, 898, 899, 905, 952, 972], "detect_artifact": [290, 293, 297], "detector": [198, 219, 240, 245, 294, 297, 312, 326, 582, 686, 687, 850, 868], "determin": [30, 48, 102, 110, 157, 169, 173, 179, 189, 194, 197, 199, 206, 219, 231, 233, 239, 245, 246, 247, 257, 260, 262, 284, 285, 286, 288, 294, 304, 308, 326, 331, 334, 335, 337, 338, 339, 340, 342, 344, 345, 346, 348, 351, 352, 353, 356, 370, 371, 379, 386, 388, 416, 423, 429, 433, 434, 445, 446, 447, 462, 489, 495, 496, 497, 506, 522, 528, 532, 533, 551, 553, 554, 556, 557, 570, 585, 597, 601, 621, 643, 676, 679, 681, 686, 687, 709, 728, 787, 795, 796, 797, 801, 802, 803, 804, 818, 828, 830, 833, 850, 880, 882, 883, 888, 891, 892, 893, 902, 909, 915, 938, 952], "determinist": [119, 234, 284], "detour": 272, "detrend": [38, 139, 163, 240, 285, 301, 332, 337, 338, 339, 340, 602, 704, 971], "dev": [254, 631, 739, 958], "dev0": 199, "dev43": 199, "dev59": [199, 319], "dev67": 958, "dev_ctf_t": [47, 197, 342], "dev_head_t": [13, 29, 47, 53, 106, 108, 113, 184, 194, 197, 245, 286, 297, 305, 331, 342, 389, 419, 420, 438, 449, 571, 647, 650, 654, 670, 681, 745, 746, 747, 759, 868, 894, 920, 972], "devel": [199, 315], "develop": [57, 98, 199, 234, 239, 297, 312, 316, 319, 323, 328, 329, 406, 670, 794, 795, 860, 952, 962, 964, 965], "deviant": [220, 231], "deviat": [30, 80, 81, 119, 126, 129, 150, 178, 179, 206, 225, 234, 238, 257, 259, 271, 285, 294, 325, 326, 334, 337, 338, 339, 340, 360, 388, 489, 625, 626, 627, 643, 670, 756, 777, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 829, 832, 861, 877, 883, 886, 892, 895, 897, 912, 913], "devic": [13, 26, 29, 31, 33, 38, 47, 52, 67, 71, 76, 99, 108, 109, 110, 138, 148, 151, 153, 178, 184, 186, 193, 194, 197, 198, 199, 204, 209, 211, 212, 213, 214, 220, 222, 223, 235, 237, 241, 242, 245, 284, 291, 293, 294, 295, 296, 297, 306, 311, 322, 323, 325, 331, 339, 340, 342, 379, 386, 389, 402, 436, 438, 449, 452, 510, 521, 548, 556, 557, 565, 566, 568, 570, 573, 577, 579, 581, 588, 591, 647, 650, 663, 664, 667, 668, 681, 682, 695, 738, 850, 852, 868, 887, 943, 965, 968, 972], "device_id": 452, "device_info": [197, 291, 337, 338, 339, 340, 342, 521, 556, 557, 558], "devot": [344, 345, 348, 351, 352, 353, 910, 915], "dewald": [279, 754], "dewar": 199, "deweight": 229, "dezhong": [237, 279], "df": [130, 141, 168, 173, 220, 245, 257, 258, 259, 265, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557, 626, 782, 785, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "df_mean": 141, "dfd": [262, 783, 786], "dfn": [262, 783, 786], "dfrac": [751, 756], "dgap": [72, 85], "dgap_freq": [288, 553, 554], "dgap_l21": 286, "dgap_l21l1": 287, "dhani": [111, 279, 643], "dharmaprani": [111, 279, 643], "di": [45, 66, 171, 214, 224, 279, 314, 323, 495], "diag": [225, 774], "diagnois": 334, "diagnos": [279, 304, 337, 338, 801, 831, 834], "diagnost": [150, 193, 200, 234, 239, 243], "diagon": [37, 54, 55, 56, 64, 65, 70, 73, 78, 83, 87, 98, 133, 136, 137, 139, 154, 194, 200, 208, 209, 225, 253, 254, 265, 267, 279, 301, 326, 334, 370, 371, 429, 447, 598, 610, 618], "diagonal_fix": [150, 190, 289, 429], "diagram": [179, 234, 325], "dialog": [309, 329, 337, 338, 339, 340, 342, 556, 557, 905, 908, 964], "diamet": [221, 326], "dic": [53, 57, 62, 82, 132, 193, 208, 255, 256, 279, 286, 288, 302, 304, 308, 323, 325, 334, 337, 341, 342, 348, 361, 362, 363, 364, 365, 367, 370, 371, 429, 433, 530, 556, 557, 563, 598, 609, 610, 611, 621, 639, 640, 713, 728, 748, 759, 797, 798, 801, 811, 813, 850, 972], "dick": [279, 322], "dicom": [290, 323, 965], "dics_epoch": [58, 82, 286, 288, 972], "dics_source_pow": [59, 82, 286, 288, 972], "dict": [26, 29, 30, 31, 33, 34, 35, 36, 37, 39, 40, 42, 44, 47, 48, 52, 54, 58, 61, 65, 66, 67, 68, 69, 71, 72, 73, 75, 76, 77, 80, 81, 84, 85, 86, 88, 93, 95, 97, 98, 103, 105, 107, 108, 114, 116, 122, 123, 125, 126, 128, 129, 130, 132, 133, 136, 138, 139, 141, 142, 143, 144, 145, 146, 149, 150, 151, 153, 157, 159, 160, 163, 164, 165, 168, 169, 170, 171, 173, 178, 179, 180, 185, 186, 187, 188, 194, 196, 197, 198, 199, 200, 203, 204, 205, 207, 208, 209, 212, 214, 220, 221, 224, 225, 230, 231, 233, 234, 235, 236, 237, 239, 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780, 781, 782, 783, 785, 786, 790, 792, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 836, 837, 839, 840, 850, 851, 852, 868, 869, 871, 872, 874, 875, 876, 880, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 895, 897, 903, 904, 905, 907, 910, 911, 912, 913, 914, 915, 916, 922, 940, 950, 951, 955], "dict_kei": [169, 197, 235], "dictat": 316, "dictionari": [30, 36, 53, 62, 82, 85, 123, 144, 164, 168, 169, 170, 172, 173, 177, 178, 179, 194, 195, 197, 217, 234, 236, 239, 242, 245, 246, 252, 275, 279, 294, 295, 312, 318, 329, 331, 332, 334, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 350, 351, 352, 353, 361, 370, 371, 372, 376, 384, 386, 398, 399, 414, 429, 433, 434, 440, 443, 444, 445, 446, 447, 449, 489, 491, 496, 500, 513, 516, 518, 521, 524, 525, 527, 528, 530, 532, 533, 551, 552, 553, 554, 555, 556, 557, 559, 575, 593, 604, 609, 621, 643, 653, 655, 656, 658, 660, 663, 668, 669, 670, 701, 708, 713, 724, 726, 729, 735, 738, 743, 781, 795, 796, 797, 801, 802, 803, 804, 837, 840, 850, 852, 875, 876, 882, 883, 885, 887, 892, 895, 897, 905, 911, 965, 972], "did": [36, 37, 54, 55, 56, 64, 65, 70, 73, 78, 83, 87, 111, 133, 136, 137, 139, 154, 188, 189, 190, 194, 198, 200, 203, 204, 209, 221, 231, 234, 236, 237, 242, 252, 253, 265, 267, 284, 294, 296, 309, 310, 313, 324, 342, 350], "didn": [168, 172, 288, 291, 295, 296, 305, 337, 524, 801], "diego": [279, 651], "dieterlen": [279, 337, 338, 801, 831, 834], "dietrich": [179, 279, 326, 610], "diff": [26, 33, 35, 38, 47, 98, 109, 110, 148, 153, 162, 204, 211, 212, 214, 220, 245, 265, 315, 859, 966], "diff_pl": [80, 81], "diff_regress": 169, "diff_sd": [80, 81], "diff_tradit": 169, "diffeomorph": [70, 279, 297, 349, 435, 678, 838, 839, 840], "diffeomorphicmap": [309, 349, 678, 838, 839, 840], "differ": [30, 35, 42, 47, 48, 53, 54, 59, 63, 65, 70, 71, 73, 80, 81, 91, 96, 98, 102, 106, 108, 109, 113, 123, 125, 128, 130, 132, 136, 139, 140, 141, 143, 149, 152, 153, 158, 162, 163, 165, 168, 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897, 899, 905, 908, 910, 916, 926, 943, 952, 957, 962, 966, 972], "difference_wav": 30, "differenti": [262, 279, 318, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 513, 556, 557, 801, 831, 834], "difficult": [102, 188, 218, 230, 262, 326, 643], "difficulti": [262, 318, 482, 952, 957], "diffus": 965, "dig": [47, 138, 147, 155, 164, 184, 185, 186, 187, 188, 194, 197, 198, 211, 212, 245, 252, 276, 290, 291, 304, 342, 380, 386, 417, 508, 565, 606, 868], "dig_kind": [284, 379, 380, 508], "dig_montag": 210, "dig_mri_dist": [14, 184, 291, 305, 440], "dig_point": 342, "digaux": 219, "digit": [26, 27, 30, 85, 99, 101, 102, 105, 109, 110, 111, 119, 122, 147, 148, 153, 163, 168, 169, 170, 174, 177, 179, 184, 185, 187, 188, 195, 196, 197, 199, 207, 209, 210, 212, 213, 217, 218, 220, 221, 228, 229, 230, 231, 232, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 248, 252, 254, 260, 261, 275, 279, 284, 285, 286, 287, 291, 293, 295, 296, 304, 305, 307, 311, 322, 323, 325, 329, 330, 334, 336, 337, 338, 339, 340, 342, 346, 379, 380, 386, 399, 400, 402, 404, 407, 408, 411, 413, 416, 417, 419, 440, 489, 496, 508, 510, 530, 548, 556, 557, 561, 565, 571, 583, 593, 601, 606, 642, 643, 652, 653, 654, 658, 670, 681, 707, 708, 743, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 868, 869, 876, 884, 886, 888, 891, 892, 895, 902, 904, 906, 907, 908, 912, 914, 922, 965], "digitz": 409, "digmontag": [14, 198, 210, 286, 287, 291, 294, 295, 296, 297, 304, 306, 309, 325, 337, 338, 339, 340, 342, 389, 390, 399, 402, 404, 405, 406, 407, 408, 409, 410, 411, 440, 541, 556, 557, 570, 676, 678, 902, 922, 971], "digpoint": [188, 290, 440], "dilat": 850, "dim": [29, 31, 33, 34, 35, 47, 57, 58, 59, 60, 61, 66, 67, 68, 71, 72, 74, 75, 76, 77, 80, 81, 84, 85, 86, 119, 122, 123, 138, 150, 180, 188, 190, 200, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 220, 225, 241, 254, 270, 334, 616, 617, 626, 627, 644, 801, 802], "dim_nam": [800, 806], "dimens": [26, 29, 34, 37, 44, 45, 54, 55, 56, 57, 61, 64, 65, 66, 67, 68, 70, 71, 73, 74, 75, 76, 77, 80, 81, 83, 84, 85, 86, 87, 88, 96, 97, 99, 101, 119, 121, 122, 123, 124, 133, 136, 137, 138, 139, 143, 150, 151, 160, 168, 169, 170, 173, 174, 177, 179, 180, 188, 190, 194, 200, 204, 205, 206, 207, 208, 209, 210, 211, 220, 224, 225, 229, 230, 232, 234, 235, 236, 238, 241, 253, 254, 257, 259, 260, 261, 262, 265, 266, 267, 271, 272, 275, 279, 294, 304, 309, 322, 325, 326, 334, 337, 338, 339, 340, 344, 345, 346, 347, 348, 350, 351, 352, 353, 360, 387, 435, 489, 492, 495, 496, 499, 500, 502, 504, 528, 529, 551, 553, 554, 556, 557, 616, 617, 619, 620, 626, 627, 642, 643, 658, 774, 776, 780, 782, 783, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 820, 821, 831, 840, 850, 860, 861, 869, 884, 891, 895, 904, 905, 907, 912, 914], "dimension": [36, 178, 203, 225, 229, 235, 236, 245, 262, 265, 266, 267, 279, 290, 296, 305, 318, 325, 326, 339, 340, 344, 345, 348, 351, 352, 353, 429, 497, 502, 504, 643, 774, 795, 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"et_flash_tim": 242, "et_fpath": [151, 242], "etc": [30, 53, 57, 62, 73, 106, 171, 183, 188, 194, 195, 196, 199, 200, 203, 217, 218, 219, 228, 229, 230, 234, 239, 245, 248, 252, 257, 265, 272, 288, 300, 305, 309, 311, 315, 316, 318, 324, 325, 326, 330, 335, 337, 338, 339, 340, 342, 343, 344, 348, 352, 408, 518, 530, 531, 556, 557, 559, 566, 578, 582, 604, 615, 640, 643, 657, 681, 706, 710, 735, 740, 768, 769, 770, 771, 782, 783, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 876, 880, 883, 910, 952, 955, 962], "etg": 582, "etienn": [305, 314], "euclidean": [48, 343, 348, 350, 625, 669, 754, 757, 760, 762, 765], "eugen": [34, 165, 234, 279, 323, 456, 481, 482], "eugenio": [279, 669], "europ": [556, 557], "european": [221, 326, 328], "eusipco": [41, 116, 279, 337, 338, 644, 801, 831, 834], "ev": [37, 39, 40, 41, 42, 44, 54, 97, 116, 123, 125, 126, 129, 132, 133, 146, 150, 160, 168, 173, 179, 200, 230, 246, 260, 261, 262, 265, 267, 276, 300, 304, 329, 708, 709, 942, 952], "ev1": [40, 285], "ev2": 285, "ev_info": 92, "eval": [337, 338], "evalu": [30, 57, 70, 80, 81, 190, 217, 225, 239, 241, 257, 279, 312, 316, 323, 326, 349, 435, 506, 515, 553, 554, 592, 625, 652, 669, 670, 754, 952], "evan": [288, 289, 295, 297, 306, 314], "eve_id": 267, "evelina": 279, "even": [33, 98, 103, 141, 157, 170, 183, 188, 194, 195, 196, 199, 200, 211, 219, 220, 228, 229, 231, 233, 234, 235, 236, 237, 241, 245, 247, 257, 272, 284, 288, 291, 293, 294, 295, 297, 305, 311, 312, 313, 315, 318, 323, 326, 329, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 382, 398, 453, 454, 455, 456, 458, 459, 460, 462, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 522, 556, 557, 588, 643, 814, 913, 966], "evenli": [52, 237, 239, 326, 339, 340, 434, 681, 889], "event": [14, 26, 29, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 47, 53, 54, 58, 59, 60, 68, 71, 72, 75, 88, 98, 99, 100, 101, 103, 106, 108, 109, 110, 111, 112, 113, 116, 119, 122, 123, 124, 125, 126, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 141, 143, 146, 150, 151, 157, 160, 163, 164, 168, 169, 170, 171, 173, 174, 177, 180, 181, 182, 190, 193, 197, 201, 202, 205, 208, 210, 211, 212, 213, 214, 217, 218, 220, 221, 225, 228, 229, 230, 231, 232, 233, 234, 236, 238, 240, 241, 245, 248, 249, 250, 252, 253, 254, 258, 259, 260, 261, 262, 265, 267, 270, 271, 272, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 300, 301, 302, 303, 304, 305, 306, 309, 310, 311, 312, 313, 314, 318, 322, 323, 325, 326, 329, 330, 331, 332, 337, 338, 339, 340, 342, 347, 348, 356, 360, 388, 428, 429, 436, 437, 438, 444, 470, 490, 505, 510, 512, 513, 518, 530, 531, 546, 556, 557, 566, 573, 574, 575, 577, 581, 583, 589, 601, 603, 608, 633, 634, 638, 640, 643, 644, 645, 646, 651, 655, 656, 660, 661, 671, 672, 673, 674, 675, 695, 705, 706, 707, 708, 711, 721, 744, 773, 775, 781, 795, 796, 797, 799, 800, 801, 802, 803, 804, 850, 851, 852, 876, 882, 883, 885, 887, 891, 899, 905, 913, 921, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 937, 942, 952, 955, 971, 972], "event_channel": 342, "event_color": [170, 242, 246, 293, 295, 337, 338, 556, 557, 882, 905], "event_desc": [196, 356], "event_dict": [168, 170, 173, 177, 179, 194, 196, 240, 242, 246, 252, 270], "event_fnam": [37, 40, 41, 42, 44, 97, 116, 125, 126, 129, 146, 150, 160, 260, 261, 262, 265, 267], "event_id": [26, 30, 31, 33, 34, 35, 36, 37, 39, 40, 41, 42, 44, 54, 58, 59, 60, 68, 71, 72, 75, 97, 99, 100, 101, 102, 116, 123, 125, 126, 128, 129, 132, 133, 136, 139, 141, 142, 146, 150, 151, 157, 160, 164, 165, 168, 169, 170, 172, 177, 179, 180, 190, 194, 196, 200, 205, 208, 211, 212, 213, 214, 220, 225, 233, 234, 236, 240, 242, 246, 252, 253, 254, 259, 260, 261, 262, 265, 267, 270, 271, 272, 280, 283, 284, 286, 288, 290, 291, 293, 294, 300, 303, 310, 322, 326, 329, 330, 331, 332, 337, 338, 347, 356, 430, 505, 511, 513, 516, 518, 556, 557, 575, 608, 644, 655, 656, 660, 661, 671, 672, 673, 674, 675, 705, 707, 708, 781, 795, 799, 800, 801, 802, 882, 885, 905, 955], "event_id_": 644, "event_id_1": 337, "event_id_2": 337, "event_list": [305, 438], "event_nam": [102, 172, 262, 513, 516, 933, 935], "event_related_plot": 174, "event_rep": [294, 332, 337], "event_typ": 513, "eventloop": [556, 557, 905], "events_": 97, "events_as_annot": [242, 313, 575], "events_bad_0": 220, "events_fil": [179, 230], "events_fnam": 39, "events_from_annot": [14, 102, 157, 165, 172, 196, 214, 240, 289, 290, 291, 294, 312, 331, 356, 566, 573, 575], "events_from_fil": [168, 246], "events_list": [303, 438], "events_no_button": 246, "events_path": 200, "events_subset": 230, "events_test": 165, "events_tmp": 123, "events_train": 165, "eventtyp": 705, "eventu": [85, 164, 315, 322, 392, 403, 662], "everi": [124, 132, 142, 169, 172, 179, 196, 200, 203, 225, 232, 233, 234, 248, 272, 275, 312, 332, 336, 337, 338, 339, 340, 423, 512, 538, 546, 553, 554, 556, 557, 595, 643, 645, 660, 661, 667, 679, 698, 738, 746, 747, 748, 757, 758, 760, 782, 783, 784, 785, 786, 795, 796, 797, 801, 802, 803, 804, 827, 829, 830, 831, 832, 833, 952, 953], "everydai": 316, "everyhwer": 295, "everyon": 315, "everyth": [71, 133, 141, 163, 187, 188, 197, 206, 210, 220, 231, 245, 275, 315, 323, 324, 339, 340, 890, 952, 957, 960], "everywher": 188, "evgeni": [297, 314], "evgenii": [272, 290, 294, 295, 296, 314], "evid": [98, 142, 231, 232, 279, 337, 338, 643, 801, 831, 834], "evironment": 241, "evk": [178, 179], "evk_fil": 177, "evk_spectrum": 270, "evok": [14, 26, 27, 29, 30, 31, 33, 34, 41, 42, 43, 44, 46, 53, 54, 57, 61, 62, 64, 65, 66, 68, 70, 71, 72, 74, 75, 76, 80, 81, 82, 83, 84, 85, 87, 88, 96, 99, 101, 106, 107, 108, 112, 113, 115, 116, 118, 120, 122, 124, 125, 126, 128, 129, 130, 136, 142, 145, 146, 152, 154, 158, 163, 164, 169, 171, 172, 182, 190, 195, 197, 198, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 217, 220, 225, 228, 229, 230, 231, 232, 234, 235, 236, 239, 242, 253, 254, 258, 259, 260, 261, 262, 265, 267, 270, 272, 276, 279, 282, 283, 284, 285, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 318, 323, 324, 325, 326, 329, 332, 334, 336, 337, 338, 340, 341, 342, 344, 345, 347, 348, 350, 351, 352, 353, 354, 357, 358, 362, 363, 366, 367, 370, 371, 373, 375, 388, 391, 415, 428, 429, 431, 433, 449, 469, 494, 503, 510, 514, 515, 520, 521, 523, 530, 532, 546, 548, 551, 553, 554, 556, 557, 562, 571, 601, 602, 605, 607, 609, 610, 611, 612, 613, 614, 618, 621, 624, 639, 640, 641, 642, 643, 644, 651, 652, 655, 656, 659, 662, 664, 668, 673, 680, 681, 696, 702, 704, 708, 709, 710, 711, 712, 713, 715, 716, 719, 735, 738, 742, 743, 748, 758, 760, 781, 790, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 811, 815, 820, 830, 832, 833, 834, 850, 852, 869, 876, 879, 880, 882, 883, 886, 887, 888, 889, 890, 891, 892, 896, 899, 903, 905, 906, 909, 911, 914, 919, 943, 952, 955, 971, 972], "evoked1": [265, 955], "evoked2": [265, 955], "evoked_aft": 101, "evoked_arrai": 252, "evoked_arrowmap": [148, 158, 972], "evoked_aud_left": 123, "evoked_befor": 101, "evoked_condition_1": 260, "evoked_condition_2": 260, "evoked_contrast": 260, "evoked_csd": 99, "evoked_data": [217, 259], "evoked_dev": 220, "evoked_dict": 240, "evoked_diff": [194, 240], "evoked_differ": 220, "evoked_dipol": 119, "evoked_eeg": [84, 177, 236], "evoked_ers_source_pow": [60, 82, 972], "evoked_evo_mc": 108, "evoked_fil": 178, "evoked_fit_left": 71, "evoked_fit_right": 71, "evoked_fnam": [61, 77, 86, 119, 124, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557], "evoked_ful": 204, "evoked_gen": 253, "evoked_grad": 148, "evoked_hp": 27, "evoked_idx": 275, "evoked_interp": 107, "evoked_interp_mn": 107, "evoked_left": [71, 240], "evoked_mag": 148, "evoked_meg": 190, "evoked_neg": [339, 340], "evoked_path": 200, "evoked_power_1": 260, "evoked_power_2": 260, "evoked_power_contrast": 260, "evoked_raw_mc": 108, "evoked_region": 119, "evoked_right": [71, 240], "evoked_snr": 253, "evoked_stat": 108, "evoked_std": 220, "evoked_subcort": [96, 659], "evoked_subset": 177, "evoked_templ": 357, "evoked_time_gen": 225, "evoked_topomap": [149, 158, 972], "evoked_vis_right": 123, "evoked_whiten": [150, 158, 972], "evokedarrai": [14, 29, 40, 41, 42, 44, 47, 112, 129, 138, 177, 179, 211, 212, 214, 217, 225, 252, 262, 286, 293, 303, 325, 338, 339, 557, 616, 617, 710, 712, 806], "evokedfield": [14, 312, 339, 340, 887, 971], "evokeds_": 644, "evokeds_fnam": 276, "evokeds_list": [177, 178], "evokeds_subset": 200, "evolut": [42, 142, 643, 899], "evolv": 231, "ex": [239, 315, 342, 958, 962], "exact": [104, 132, 232, 257, 265, 272, 279, 287, 304, 306, 325, 326, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 363, 506, 556, 557, 610, 782, 784, 785, 798, 807, 809, 810, 812], "exactli": [98, 168, 172, 203, 212, 225, 245, 272, 275, 293, 294, 296, 645, 781, 870, 914], "exagger": 143, "examin": [31, 60, 73, 103, 164, 170, 173, 174, 179, 188, 194, 205, 206, 234, 245, 247, 315, 952], "exampl": [23, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 128, 129, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 171, 172, 173, 176, 177, 178, 179, 180, 182, 183, 185, 186, 187, 188, 189, 190, 192, 194, 195, 196, 197, 198, 199, 200, 202, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 216, 217, 218, 219, 220, 221, 223, 224, 227, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 250, 251, 252, 253, 254, 256, 257, 258, 259, 260, 261, 262, 264, 265, 266, 267, 269, 270, 271, 272, 274, 275, 276, 278, 279, 284, 285, 286, 287, 289, 290, 293, 294, 297, 301, 304, 305, 306, 307, 309, 311, 313, 314, 315, 322, 324, 325, 326, 327, 332, 353, 383, 409, 437, 443, 444, 445, 446, 456, 462, 470, 482, 488, 491, 494, 500, 502, 511, 516, 533, 555, 559, 582, 585, 631, 653, 662, 690, 705, 707, 730, 739, 775, 803, 804, 828, 830, 840, 848, 855, 882, 884, 886, 891, 895, 897, 905, 907, 912, 916, 952, 953, 957, 961, 962, 965, 972], "exampleio": 91, "exce": [70, 257, 293, 332, 337, 338, 339, 340, 416, 418, 489, 496, 556, 557, 645, 648, 660, 782, 829, 832, 891, 905], "exceed": [149, 212, 230, 236, 239, 259, 337, 643, 679, 801], "excel": [150, 178, 188, 231, 254], "except": [168, 171, 199, 200, 203, 204, 221, 239, 245, 291, 294, 295, 297, 305, 309, 315, 318, 326, 337, 338, 339, 340, 342, 357, 358, 402, 423, 424, 429, 481, 530, 556, 557, 558, 632, 644, 670, 721, 786, 790, 840], "excess": [229, 231, 307, 309, 313, 556, 557, 905], "exchang": [257, 284], "exci": [197, 245, 325, 326, 337, 338, 339, 340, 342, 385, 449, 556, 557, 640, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "excit": [325, 326, 337, 338, 339, 340, 342, 556, 557, 640, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "exclud": [26, 29, 31, 33, 34, 35, 37, 39, 40, 41, 42, 44, 50, 52, 54, 57, 60, 61, 66, 67, 69, 71, 75, 76, 77, 84, 85, 86, 92, 96, 97, 98, 99, 103, 107, 111, 114, 116, 119, 121, 125, 126, 128, 129, 133, 136, 137, 138, 139, 140, 141, 148, 161, 165, 170, 171, 172, 178, 184, 185, 186, 194, 197, 200, 204, 205, 209, 210, 211, 212, 213, 214, 220, 225, 228, 229, 230, 232, 234, 235, 236, 237, 238, 240, 241, 242, 248, 254, 259, 260, 261, 265, 267, 270, 271, 272, 284, 286, 288, 289, 290, 291, 294, 295, 296, 297, 301, 307, 312, 313, 322, 329, 334, 335, 336, 337, 338, 339, 340, 344, 345, 347, 348, 350, 351, 352, 353, 379, 380, 387, 393, 400, 434, 440, 445, 447, 497, 508, 556, 557, 559, 566, 573, 575, 581, 585, 606, 634, 635, 636, 638, 640, 641, 642, 643, 644, 655, 656, 657, 658, 670, 681, 696, 708, 713, 734, 738, 743, 782, 783, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 810, 811, 812, 813, 819, 877, 886, 888, 889, 890, 896, 898, 899, 906, 931, 955], "exclude_after_uniqu": [312, 566, 573], "exclude_ev": 931, "exclude_fname_pattern": 585, "exclude_front": [380, 508], "exclus": [111, 198, 229, 234, 286, 638, 643, 896, 898, 899], "execut": [25, 32, 46, 51, 58, 82, 94, 113, 117, 120, 131, 135, 158, 161, 164, 167, 176, 182, 183, 192, 199, 200, 202, 216, 223, 227, 228, 244, 250, 251, 256, 264, 269, 274, 278, 294, 295, 306, 315, 326, 335, 337, 338, 339, 340, 342, 343, 344, 345, 347, 348, 351, 352, 353, 355, 429, 430, 432, 434, 451, 456, 492, 499, 502, 505, 506, 532, 545, 547, 548, 556, 557, 601, 604, 605, 616, 617, 626, 627, 643, 648, 655, 656, 742, 743, 745, 746, 747, 759, 782, 783, 784, 785, 786, 795, 797, 799, 800, 801, 803, 805, 806, 807, 808, 809, 810, 811, 812, 820, 821, 829, 830, 831, 832, 833, 852, 880, 882, 884, 887, 899, 905, 906, 908, 957, 958, 962, 972], "exemplifi": 315, "exg": 30, "exg1": 30, "exg2": 30, "exg3": 30, "exg4": 30, "exhaust": [257, 370], "exhibit": [42, 272, 326, 339, 340, 344, 345, 348, 351, 352, 353], "eximia": [217, 288, 326, 576], "exist": [70, 128, 130, 168, 171, 177, 178, 184, 189, 198, 199, 200, 204, 208, 230, 231, 232, 235, 236, 237, 247, 252, 257, 259, 275, 276, 287, 288, 289, 290, 291, 293, 294, 297, 301, 302, 305, 312, 315, 316, 318, 322, 323, 329, 331, 334, 335, 337, 338, 339, 340, 341, 342, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 361, 381, 382, 383, 386, 387, 448, 453, 454, 455, 456, 458, 459, 460, 462, 463, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 497, 498, 511, 515, 519, 520, 521, 522, 524, 541, 556, 557, 558, 573, 577, 593, 628, 630, 632, 642, 643, 644, 646, 653, 682, 701, 711, 731, 732, 735, 738, 739, 740, 744, 746, 747, 764, 765, 768, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 835, 837, 838, 850, 875, 891, 906, 939, 940, 941, 942, 943, 944, 945, 947, 948, 949, 950, 951, 952, 955, 966], "exist_ok": 189, "exit": [315, 329, 343, 548, 632], "exp": [26, 33, 60, 66, 68, 76, 84, 85, 119, 121, 123, 138, 174, 205, 206, 207, 210, 220, 225, 236, 241, 254, 257, 370, 371, 533, 551, 553, 554, 621], "expand": [168, 172, 188, 230, 235, 242, 297, 303, 305, 306, 309, 337, 338, 339, 340, 343, 348, 351, 429, 519, 522, 547, 556, 557, 799, 800, 805, 806, 884, 952, 971], "expans": [235, 239, 326, 337, 338, 339, 340, 510, 556, 557, 601, 653, 654, 670, 681], "expect": [30, 58, 64, 123, 143, 150, 172, 184, 187, 189, 190, 193, 194, 195, 200, 208, 214, 219, 221, 225, 231, 234, 235, 236, 240, 242, 245, 246, 252, 254, 257, 261, 262, 267, 272, 297, 306, 309, 315, 316, 317, 325, 326, 327, 337, 338, 339, 340, 404, 406, 411, 433, 556, 557, 565, 574, 578, 586, 621, 643, 681, 705, 706, 710, 721, 732, 850, 882, 892, 899, 905, 952, 957], "expected_po": 212, "expedi": 795, "expens": [45, 193, 194, 200, 285, 327, 689], "experi": [30, 45, 71, 93, 98, 157, 179, 193, 194, 196, 197, 208, 220, 229, 230, 236, 239, 240, 241, 242, 245, 246, 279, 291, 297, 312, 315, 317, 318, 323, 325, 326, 342, 575, 577], "experienc": [193, 316, 645], "experiment": [27, 30, 39, 42, 71, 85, 98, 99, 101, 102, 105, 109, 110, 111, 119, 122, 163, 168, 169, 170, 174, 177, 178, 179, 181, 193, 195, 196, 197, 207, 208, 209, 212, 221, 225, 228, 229, 230, 232, 234, 235, 236, 237, 239, 240, 241, 242, 245, 246, 247, 248, 252, 254, 257, 260, 261, 275, 279, 297, 303, 322, 325, 326, 332, 337, 338, 339, 340, 342, 490, 505, 517, 518, 530, 556, 557, 558, 603, 610, 638, 670, 681, 682, 708, 746, 747, 754, 795, 796, 800, 801, 802, 885, 942, 955], "expert": [165, 190, 315, 316, 952], "expertis": 314, "explain": [31, 33, 44, 54, 56, 60, 61, 64, 65, 66, 67, 68, 70, 71, 73, 74, 76, 77, 80, 81, 84, 85, 86, 87, 119, 123, 165, 187, 188, 194, 205, 206, 207, 209, 210, 211, 220, 221, 225, 234, 241, 253, 254, 265, 267, 283, 285, 293, 294, 295, 307, 311, 315, 326, 346, 373, 375, 430, 431, 432, 489, 496, 551, 553, 554, 619, 620, 643, 657, 896, 962], "explained_var": [235, 283, 346], "explained_var_ratio": 234, "explan": [53, 101, 170, 183, 193, 261, 309, 327, 337, 338, 799, 800, 801, 802, 970], "explanatori": [642, 696], "explicit": [224, 285, 294, 296, 297, 315, 336, 433, 445, 446], "explicitli": [186, 200, 217, 225, 230, 232, 233, 234, 265, 280, 284, 287, 293, 294, 296, 305, 311, 315, 316, 318, 322, 332, 337, 338, 339, 340, 342, 344, 345, 347, 348, 351, 352, 353, 370, 371, 377, 384, 387, 403, 429, 433, 434, 445, 446, 447, 489, 491, 496, 505, 510, 512, 527, 528, 532, 533, 551, 553, 554, 556, 557, 595, 621, 642, 643, 645, 659, 660, 661, 669, 673, 679, 687, 689, 696, 698, 738, 746, 747, 748, 757, 758, 760, 762, 781, 782, 783, 784, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 810, 811, 812, 813, 815, 833, 876, 882, 883, 886, 888, 889, 892, 905, 906, 957], "exploit": [45, 116, 282], "explor": [30, 53, 102, 134, 135, 138, 186, 209, 225, 229, 231, 233, 236, 242, 248, 253, 271, 272, 323, 324, 337, 340, 352, 353, 360, 530, 773, 916, 952, 956, 972], "exploratori": [168, 177, 195, 235, 245, 258, 324], "explos": 506, "expon": [370, 371, 533, 551, 553, 554, 621], "export": [14, 50, 56, 67, 141, 144, 168, 175, 176, 177, 183, 193, 196, 200, 218, 219, 249, 290, 296, 297, 300, 305, 306, 308, 309, 311, 312, 313, 314, 331, 337, 338, 339, 340, 344, 345, 348, 350, 351, 352, 353, 411, 413, 556, 557, 573, 583, 708, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 955, 957, 964, 967, 972], "export_epoch": [14, 297, 305], "export_evok": [14, 297, 305], "export_evokeds_mff": [14, 297, 305, 339, 340, 520], "export_raw": [14, 297, 305, 306, 308, 309, 312, 313, 573], "export_volum": [50, 67, 294, 312, 350], "expos": [42, 161, 224, 261, 287, 293, 302, 308], "exposur": [141, 234, 279, 315], "express": [102, 197, 218, 229, 297, 301, 316, 318, 326, 506, 518, 566, 573, 581, 618, 637, 670, 699, 716, 816], "expressli": 312, "ext": 315, "ext_block": 679, "ext_ord": [239, 416, 418, 422, 510, 653, 654, 670, 681], "extend": [30, 105, 169, 172, 179, 194, 208, 229, 234, 236, 239, 241, 262, 279, 282, 284, 285, 287, 288, 290, 293, 294, 302, 303, 310, 322, 331, 334, 335, 337, 338, 339, 340, 346, 352, 429, 489, 496, 556, 557, 595, 603, 642, 643, 646, 654, 658, 670, 679, 681, 761, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 818, 828, 829, 832, 840, 869, 880, 884, 891, 895, 904, 907, 912, 914, 965], "extended_proj": [654, 670, 681], "extens": [30, 38, 69, 70, 102, 164, 168, 179, 186, 188, 198, 218, 219, 221, 225, 246, 247, 287, 289, 294, 296, 297, 304, 318, 322, 323, 326, 337, 338, 339, 340, 370, 371, 404, 405, 411, 496, 519, 520, 522, 556, 557, 564, 565, 572, 575, 586, 681, 699, 708, 712, 798, 822, 850, 942, 962], "extent": [29, 31, 39, 42, 50, 67, 71, 73, 76, 81, 98, 102, 119, 124, 136, 168, 184, 186, 204, 209, 211, 212, 213, 214, 225, 236, 237, 259, 260, 261, 262, 265, 266, 267, 279, 293, 316, 326, 337, 338, 512, 547, 595, 625, 754, 785, 786], "exterior": [31, 33, 52, 67, 71, 76, 138, 186, 187, 204, 209, 210, 239, 241], "extern": [103, 179, 208, 217, 239, 279, 305, 322, 323, 326, 337, 338, 339, 340, 416, 418, 422, 510, 519, 520, 521, 522, 556, 557, 643, 653, 654, 670, 681, 801, 802], "extr": 149, "extra": [45, 109, 110, 173, 188, 194, 197, 198, 220, 236, 245, 253, 284, 286, 288, 309, 325, 334, 337, 338, 339, 340, 342, 346, 379, 380, 386, 409, 411, 489, 496, 508, 556, 557, 642, 643, 658, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 846, 869, 876, 884, 886, 888, 891, 892, 895, 902, 904, 906, 907, 908, 912, 914, 962, 966], "extract": [34, 35, 44, 47, 50, 53, 62, 64, 67, 82, 88, 90, 95, 101, 103, 108, 111, 129, 141, 142, 153, 157, 163, 164, 169, 170, 172, 177, 179, 186, 187, 193, 194, 197, 199, 209, 217, 219, 220, 225, 228, 232, 234, 235, 236, 243, 244, 246, 252, 258, 259, 260, 267, 275, 279, 291, 293, 294, 300, 303, 304, 305, 306, 311, 315, 322, 323, 325, 326, 329, 330, 337, 339, 342, 343, 344, 345, 348, 350, 351, 352, 353, 381, 416, 417, 418, 419, 420, 421, 424, 426, 427, 437, 447, 462, 489, 493, 496, 497, 513, 523, 530, 556, 560, 566, 573, 578, 597, 609, 610, 624, 643, 647, 681, 706, 710, 711, 715, 721, 766, 769, 849, 875, 894, 965, 972], "extract_chpi_locs_ctf": [14, 109, 293, 417, 419], "extract_chpi_locs_kit": [14, 296, 971], "extract_label_time_cours": [14, 64, 65, 67, 209, 284, 287, 291, 294, 295, 296, 303, 311, 344, 345, 348, 351, 352, 353, 597], "extraordinari": 316, "extrapol": [149, 178, 240, 290, 293, 294, 295, 308, 334, 337, 338, 339, 340, 346, 489, 496, 556, 557, 642, 643, 658, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 884, 891, 895, 904, 907, 912, 914], "extrem": [141, 170, 272, 339, 340, 370, 371, 395, 429, 433, 434, 445, 446, 447, 489, 496, 497, 532, 533, 551, 553, 554, 621, 782, 783, 785, 786, 892], "extrema": [509, 676, 690], "extrud": 189, "extrus": 189, "ey": [13, 23, 29, 53, 57, 103, 152, 155, 158, 163, 165, 186, 193, 200, 211, 214, 228, 230, 233, 235, 236, 243, 244, 310, 311, 323, 325, 326, 331, 337, 338, 339, 340, 342, 456, 530, 556, 557, 574, 575, 577, 634, 640, 661, 663, 664, 666, 667, 668, 672, 695, 705, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 861, 972], "eyeblink": [26, 656, 661], "eyegaz": [151, 197, 221, 242, 245, 280, 311, 312, 325, 326, 337, 338, 339, 340, 342, 449, 556, 557, 640, 664, 666, 668, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 861], "eyelink": [14, 151, 242, 310, 315, 318, 326, 577, 667, 971], "eyetrack": [13, 14, 151, 193, 222, 223, 280, 309, 310, 312, 313, 326, 331, 337, 338, 339, 340, 342, 385, 556, 557, 577, 640, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 972], "eyetracking_plot_heatmap": [151, 158, 972], "ez": 342, "ezemikulan": 189, "ezequiel": [189, 289, 293, 294, 314], "ezwinport": 315, "f": [26, 30, 31, 34, 35, 36, 44, 45, 47, 48, 50, 53, 54, 55, 56, 58, 59, 60, 63, 64, 65, 66, 67, 72, 73, 78, 79, 85, 87, 90, 91, 98, 99, 100, 105, 111, 112, 114, 119, 121, 123, 127, 129, 131, 133, 136, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 156, 163, 165, 168, 169, 171, 172, 177, 178, 179, 184, 185, 186, 187, 188, 193, 195, 198, 200, 203, 204, 205, 208, 210, 211, 212, 213, 214, 220, 224, 225, 228, 229, 231, 232, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 247, 252, 253, 254, 257, 259, 260, 261, 263, 264, 265, 266, 267, 270, 271, 272, 275, 279, 289, 305, 312, 314, 322, 323, 325, 326, 329, 331, 334, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 361, 370, 376, 392, 412, 428, 464, 528, 530, 556, 557, 609, 640, 652, 663, 708, 750, 774, 776, 777, 778, 781, 783, 786, 797, 801, 818, 828, 829, 832, 837, 873, 876, 883, 952, 964, 965, 966, 972], "f0": 814, "f1": [41, 90, 98, 119, 165, 750], "f11": [337, 338, 556, 557, 882, 905], "f1_score": [14, 119], "f2": [90, 98], "f3": [90, 95, 98, 157, 172, 187, 237, 582], "f4": [90, 95, 98, 157, 172, 187, 198, 237], "f401": [144, 257], "f5": [90, 98, 582], "f6": [90, 98], "f7": [90, 95, 172, 187, 409, 582], "f8": [90, 95, 172, 187], "f_": 231, "f_classif": 37, "f_evok": 262, "f_idx": 259, "f_imag": [261, 262], "f_map": 262, "f_mway_rm": [14, 257, 261, 267, 282, 778], "f_ob": [260, 261, 262, 266, 267, 783, 786], "f_obs_plot": [260, 261, 262], "f_obs_plot2": 261, "f_obs_plot_sig": 262, "f_onewai": [14, 257, 776, 778, 783, 786, 971], "f_p": [231, 326], "f_pass": 524, "f_stop": 524, "f_thresh": [261, 262, 267], "f_threshold": [266, 778], "f_threshold_mway_rm": [14, 257, 261, 267, 776], "f_val": 776, "fa": [206, 279, 621, 751, 756], "face": [28, 30, 32, 36, 53, 97, 153, 168, 170, 172, 177, 179, 189, 194, 200, 203, 225, 228, 279, 294, 302, 307, 318, 334, 337, 338, 339, 340, 341, 342, 348, 380, 428, 429, 530, 571, 605, 609, 610, 621, 643, 661, 724, 727, 850, 865, 913, 945, 950, 972], "facecolor": [36, 73, 179, 257], "facet": [188, 275], "facetgrid": 141, "facil": [57, 330], "facilit": [96, 141, 163, 164, 195, 219, 225, 258, 290, 293, 294, 295, 307, 318, 322, 326, 337, 338, 339, 340, 556, 557, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 965], "fact": [172, 177, 179, 209, 210, 228, 234, 235, 239, 246, 322, 325, 326, 495, 501, 643, 711], "facto": 318, "factor": [31, 33, 54, 55, 56, 60, 64, 65, 66, 67, 68, 70, 71, 74, 76, 80, 81, 84, 85, 87, 119, 123, 133, 136, 137, 138, 139, 163, 185, 199, 205, 206, 207, 209, 210, 220, 225, 231, 232, 239, 241, 253, 254, 259, 260, 261, 265, 267, 271, 279, 282, 283, 293, 294, 295, 297, 304, 305, 312, 313, 325, 326, 329, 332, 336, 337, 338, 339, 340, 342, 344, 345, 347, 348, 351, 352, 353, 372, 429, 433, 440, 447, 497, 498, 501, 502, 510, 529, 556, 557, 568, 613, 623, 626, 627, 653, 654, 660, 661, 669, 670, 679, 681, 683, 730, 732, 733, 746, 747, 776, 778, 795, 796, 797, 801, 802, 803, 804, 808, 811, 814, 827, 829, 830, 831, 832, 833, 834, 840, 850, 865, 882, 890, 903, 905, 911, 913, 915], "factor_analysi": 429, "factor_level": [261, 267, 776, 778], "fadili": [66, 279, 553], "fahimeh": [156, 279, 293, 314], "fail": [103, 236, 285, 287, 290, 297, 305, 307, 308, 309, 310, 311, 315, 316, 433, 440, 508, 510, 539, 574, 575, 653, 654, 670, 681, 699, 701, 705, 730, 732, 945], "failur": [288, 315], "fair": [229, 237], "fairli": [177, 194, 228, 230, 231, 232, 234, 236, 237], "faith": 316, "fake": [29, 91, 98, 187, 206, 210, 211, 213], "fake_keypress": [230, 247], "fakedata": 91, "falach": [296, 314], "fall": [102, 171, 179, 196, 199, 239, 247, 284, 293, 296, 325, 326, 330, 347, 440, 482, 513, 530, 645], "fallaci": [179, 231, 279], "fallback": [199, 285, 316, 337, 338, 556, 557, 882, 905], "falloff": 231, "fals": [26, 30, 31, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 52, 54, 56, 57, 58, 66, 67, 68, 70, 73, 74, 75, 76, 80, 81, 90, 91, 92, 95, 96, 97, 98, 99, 100, 103, 104, 107, 109, 110, 112, 114, 116, 119, 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893, 895, 897, 899, 901, 904, 905, 906, 907, 908, 910, 911, 912, 914, 915, 918, 939, 940, 941, 942, 943, 944, 945, 947, 948, 949, 950, 951, 957], "famili": [245, 784, 958], "familiar": [172, 228, 275, 323, 960], "familywis": 257, "fancybox": 275, "faq": [184, 218, 231, 237, 383, 447, 566, 681, 953], "far": [98, 111, 168, 169, 172, 185, 199, 206, 230, 231, 232, 235, 237, 245, 246, 257, 275, 312, 314, 326, 440, 570, 646, 782, 783, 785, 786, 830, 833, 876], "farella": [279, 669], "farren": [172, 279, 323], "farther": [169, 952], "farthest": 643, "farzin": [313, 314], "fashion": [239, 297, 447], "fast": [33, 47, 70, 157, 179, 183, 220, 270, 272, 279, 287, 301, 308, 326, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 438, 497, 506, 555, 556, 557, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 583, 584, 585, 586, 588, 589, 590, 591, 601, 602, 643, 690, 799, 805, 821, 952, 957], "faster": [39, 44, 70, 149, 168, 211, 225, 232, 234, 272, 279, 284, 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553, 554, 569, 621, 638, 643, 670, 787, 798], "incom": 289, "incompat": [102, 172, 286, 294, 715, 721, 957], "incomplet": [296, 318, 957], "inconsist": [284, 291, 305, 309, 318], "incorpor": [208, 257, 262, 306, 315, 326, 394, 513, 522, 556, 557, 648], "incorrect": [172, 221, 230, 231, 241, 279, 293, 296, 303, 304, 305, 306, 307, 310, 311, 312, 313, 326, 800, 806, 957], "incorrectli": [184, 280, 289, 290, 293, 294, 295, 305, 306, 308, 309, 311, 312, 952], "increas": [30, 37, 58, 81, 98, 141, 179, 200, 221, 230, 231, 234, 235, 240, 241, 254, 259, 262, 272, 287, 288, 289, 295, 296, 303, 308, 323, 326, 336, 337, 338, 339, 340, 347, 530, 556, 557, 569, 643, 664, 670, 689, 782, 783, 785, 786, 795, 796, 797, 801, 802, 803, 804, 818, 828, 829, 830, 831, 832, 833, 834, 850, 855, 882, 899, 905], "increasingli": 664, "increment": [272, 553, 643], "incrementor": 311, "inde": [73, 98, 169, 196, 203, 235, 236, 272, 318], "indent": [592, 859], "indep": [126, 779], "independ": [45, 98, 103, 111, 138, 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796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 850, 865, 870, 876, 880, 885, 895, 897, 899], "index_img": 56, "indexerror": 310, "indic": [33, 39, 42, 48, 57, 73, 74, 97, 98, 109, 129, 168, 169, 170, 172, 173, 174, 177, 179, 183, 184, 188, 196, 197, 198, 203, 206, 217, 220, 224, 228, 229, 230, 232, 234, 235, 238, 239, 241, 245, 247, 248, 252, 254, 259, 262, 285, 286, 288, 290, 291, 294, 296, 300, 310, 313, 315, 316, 325, 326, 330, 331, 332, 334, 335, 336, 337, 338, 339, 340, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 384, 386, 387, 388, 398, 401, 403, 409, 429, 434, 445, 481, 489, 491, 495, 496, 497, 505, 510, 513, 518, 527, 528, 531, 556, 557, 566, 568, 570, 573, 574, 575, 581, 583, 586, 589, 619, 620, 634, 637, 639, 640, 642, 643, 644, 645, 646, 651, 653, 658, 659, 660, 661, 664, 669, 673, 677, 679, 680, 686, 687, 689, 690, 696, 705, 711, 712, 715, 724, 727, 733, 738, 762, 763, 767, 770, 774, 781, 782, 783, 785, 786, 787, 790, 795, 796, 797, 798, 799, 800, 801, 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592, 656, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 807, 809, 810, 812, 820, 821, 859, 906, 912], "infant": [279, 286, 296, 465], "infeas": [29, 31, 50, 67, 71, 76, 184, 186, 204, 209, 211, 212, 213, 214, 237], "infer": [35, 36, 69, 70, 142, 184, 193, 198, 231, 246, 247, 258, 262, 263, 264, 279, 285, 287, 295, 297, 305, 311, 313, 325, 326, 337, 338, 339, 340, 343, 344, 345, 348, 351, 352, 353, 370, 371, 392, 396, 429, 433, 434, 438, 445, 446, 447, 489, 496, 519, 520, 522, 532, 533, 551, 553, 554, 556, 557, 566, 568, 573, 621, 643, 724, 772, 779, 782, 783, 784, 785, 786, 788, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 865, 890, 891, 892, 899, 905, 914, 950, 965, 972], "infer_typ": [165, 305, 309, 566, 573], "inferenti": [30, 257], "inferior": [184, 188, 325], "inferiorpariet": [73, 253], "inferiortempor": 73, "inferno": [138, 164, 257], "infil": [102, 172], "infin": [237, 279, 294, 337, 338, 339, 340, 556, 557, 738], "infinit": [231, 291, 297, 326], "inflat": 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964, 965, 966, 967], "instructor": 318, "instrument": [206, 228, 234, 279], "insts_bad": 662, "insuffici": [293, 957], "insula": 73, "int": [34, 37, 45, 57, 96, 100, 119, 122, 124, 138, 143, 171, 177, 188, 197, 199, 220, 224, 231, 232, 241, 245, 252, 254, 267, 272, 275, 289, 293, 297, 310, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 373, 375, 377, 378, 379, 380, 381, 382, 383, 385, 386, 387, 388, 390, 391, 401, 403, 404, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 455, 456, 458, 459, 460, 461, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 494, 495, 496, 497, 499, 500, 501, 502, 505, 506, 507, 508, 510, 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782, 783, 784, 785, 786, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 905], "obtain": [45, 64, 68, 69, 87, 119, 123, 124, 165, 174, 179, 183, 185, 186, 198, 200, 203, 205, 206, 212, 213, 214, 231, 233, 239, 245, 246, 254, 257, 259, 262, 271, 285, 290, 294, 300, 302, 303, 305, 307, 316, 322, 323, 325, 326, 335, 337, 338, 339, 340, 341, 344, 345, 348, 351, 352, 353, 371, 383, 417, 419, 429, 431, 435, 449, 495, 497, 512, 539, 540, 550, 553, 554, 556, 557, 566, 573, 578, 595, 610, 618, 629, 643, 647, 654, 679, 698, 706, 710, 716, 743, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 764, 768, 782, 783, 784, 785, 786, 798, 830, 833, 850, 852, 871, 887, 910, 911, 916, 953], "obtained_sfreq": 232, "obviou": [171, 199, 229, 234, 248, 265], "obvious": [45, 102, 186, 239, 272], "occasion": [315, 323], "occipit": [30, 73, 75, 197, 233, 242, 272, 323, 326, 728], "occlud": 199, "occular": 577, "occupi": [344, 345, 348, 351, 352, 353, 547, 743, 910, 915], "occur": [52, 70, 73, 98, 102, 104, 119, 123, 124, 168, 171, 172, 179, 189, 196, 230, 231, 232, 236, 242, 245, 259, 260, 284, 306, 313, 315, 316, 322, 326, 330, 332, 336, 337, 338, 339, 340, 348, 355, 370, 371, 429, 433, 434, 445, 446, 447, 489, 496, 512, 513, 515, 531, 532, 533, 551, 553, 554, 556, 557, 588, 621, 660, 661, 663, 744, 795, 796, 797, 800, 801, 802, 803, 804, 805, 806, 882, 892, 905, 959, 964], "occurr": [165, 172, 228, 513, 515], "oct": [33, 37, 48, 50, 54, 55, 57, 61, 64, 65, 66, 67, 68, 69, 73, 74, 75, 77, 78, 80, 81, 83, 84, 85, 86, 87, 96, 119, 121, 122, 123, 124, 133, 136, 137, 138, 139, 154, 159, 184, 186, 187, 188, 194, 200, 205, 206, 207, 209, 210, 220, 225, 241, 253, 254, 265, 267, 302, 329, 344, 348, 350, 352, 488, 742, 910], "oct4": 186, "oct5": [67, 138, 322], "oct6": [67, 138, 186, 322, 329, 344, 348, 352, 733, 742, 910], "octahedr": [50, 67, 138, 186, 488], "octahedron": [50, 67, 138, 184, 186, 188, 329, 344, 348, 352, 742, 910], "octamon": [198, 219, 296], "octav": 231, "octob": [279, 754], "ocular": [221, 233, 234, 236, 279, 310, 642, 696], "od": [325, 326], "odd": [157, 231, 326, 398, 488], "oddbal": [304, 775], "off": [27, 30, 36, 95, 101, 105, 122, 143, 145, 163, 165, 169, 171, 177, 179, 180, 184, 187, 188, 194, 195, 196, 197, 199, 220, 224, 228, 229, 230, 232, 233, 234, 235, 236, 237, 239, 241, 245, 246, 247, 248, 252, 253, 275, 279, 286, 287, 293, 295, 296, 297, 310, 315, 322, 323, 326, 329, 332, 337, 338, 339, 340, 344, 345, 348, 350, 351, 352, 353, 370, 371, 491, 500, 525, 527, 556, 557, 642, 655, 656, 658, 672, 675, 681, 685, 696, 830, 833], "offer": [71, 209, 225, 231, 237, 254, 257, 258, 290, 315, 318, 330, 331, 850, 955, 963], "offici": [98, 99, 219, 279, 305, 313, 315, 316, 583, 643, 651, 652, 707, 954, 966], "offlin": 229, "offset": [33, 100, 122, 164, 189, 196, 200, 220, 228, 230, 231, 233, 234, 235, 236, 242, 245, 246, 247, 280, 289, 293, 296, 304, 305, 310, 312, 325, 329, 331, 332, 336, 337, 338, 339, 340, 342, 436, 518, 522, 530, 556, 557, 577, 592, 646, 663, 695, 708, 774, 795, 796, 797, 801, 802, 803, 804, 850], "often": [53, 95, 98, 103, 104, 111, 168, 170, 178, 194, 196, 197, 203, 206, 208, 217, 219, 221, 225, 229, 231, 232, 235, 237, 239, 246, 247, 259, 272, 296, 314, 315, 316, 318, 322, 325, 326, 327, 339, 340, 344, 345, 348, 351, 352, 353, 370, 371, 429, 433, 434, 445, 446, 447, 489, 496, 532, 533, 551, 553, 554, 621, 682, 850, 892, 910, 915, 952, 962], "oghalai": [279, 685], "oi": 743, "oili": [279, 326], "ok": [153, 217, 238, 333, 343], "okai": 236, "okba": 287, "ol": [200, 303, 318, 780], "olaf": [73, 74, 75, 76, 80, 81, 130, 279, 293, 294, 295, 303, 307, 314, 625, 751, 756], "old": [231, 245, 247, 270, 279, 287, 289, 291, 293, 294, 296, 299, 303, 312, 313, 315, 318, 319, 331, 334, 337, 338, 339, 340, 342, 348, 351, 386, 394, 414, 481, 556, 557, 570, 583, 608, 685, 707, 728, 729, 740, 795, 801, 850, 917, 921, 966], "old_backend_nam": [917, 921], "old_event_id": 511, "old_level": 740, "old_mn": 966, "old_param": 315, "old_tim": 293, "older": [194, 196, 198, 285, 286, 296, 394, 509, 556], "oldid": 279, "oleg": 279, "oleggio": 314, "oleh": [288, 314], "oliva": [36, 279, 323], "olivetti": [302, 314], "olivi": [99, 107, 229, 279, 326, 429, 643, 652, 818, 828, 829, 832], "olli": [206, 279], "omega": [98, 138], "omer": [308, 309, 314], "omit": [29, 31, 33, 38, 47, 50, 52, 54, 55, 56, 60, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 76, 80, 81, 83, 84, 85, 87, 107, 109, 115, 119, 122, 123, 133, 136, 137, 138, 139, 148, 150, 154, 178, 180, 184, 186, 190, 194, 196, 197, 199, 200, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 220, 225, 229, 237, 239, 241, 253, 254, 265, 267, 276, 284, 287, 294, 296, 297, 304, 305, 307, 315, 331, 337, 338, 339, 340, 347, 495, 556, 557, 597, 643, 671, 672, 682, 699, 711, 751, 756, 797, 803, 805, 840, 868, 870, 886, 891, 897, 906], "omit_head_shape_point": [185, 440], "omp_num_thread": 952, "on_bad": 735, "on_baselin": [307, 643, 896], "on_defect": [305, 440, 508, 539, 701, 730, 732, 945], "on_error": 347, "on_header_miss": [295, 413], "on_mismatch": [109, 220, 297, 429, 436, 438, 943], "on_miss": [294, 307, 332, 337, 338, 339, 340, 342, 357, 358, 390, 423, 424, 481, 516, 536, 556, 557, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 885], "on_motion_notifi": 276, "on_pick": [161, 865], "on_rank_mismatch": [433, 445, 446], "on_split_miss": [36, 295, 556, 579], "on_tim": 143, "on_time_chang": 276, "on_unit_chang": [309, 337, 338, 339, 340, 342, 556, 557], "onc": [60, 69, 70, 98, 123, 161, 170, 171, 172, 173, 178, 179, 194, 196, 197, 198, 200, 228, 229, 231, 233, 234, 235, 236, 242, 245, 247, 275, 285, 290, 296, 302, 306, 313, 315, 316, 322, 326, 330, 331, 337, 338, 339, 340, 344, 345, 348, 349, 351, 352, 353, 355, 451, 524, 525, 527, 528, 556, 557, 662, 679, 830, 833, 873, 905], "onclick": [851, 971], "one": [23, 26, 27, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 47, 50, 57, 59, 60, 66, 67, 68, 69, 71, 72, 74, 75, 76, 84, 85, 93, 96, 98, 101, 102, 103, 105, 110, 111, 112, 114, 115, 116, 119, 123, 125, 126, 128, 132, 138, 140, 142, 143, 144, 146, 150, 159, 161, 163, 164, 168, 169, 170, 171, 172, 173, 174, 177, 178, 179, 183, 184, 185, 186, 187, 188, 189, 194, 195, 196, 197, 200, 204, 205, 206, 207, 208, 209, 210, 212, 214, 217, 218, 220, 224, 225, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 239, 240, 241, 242, 245, 246, 247, 248, 252, 254, 257, 259, 260, 261, 262, 266, 271, 272, 275, 283, 285, 288, 289, 291, 293, 294, 295, 297, 300, 303, 305, 308, 311, 315, 316, 318, 322, 323, 324, 325, 326, 329, 330, 332, 334, 335, 336, 337, 338, 339, 340, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 359, 362, 370, 371, 385, 386, 388, 392, 393, 395, 428, 430, 431, 433, 435, 436, 440, 456, 465, 468, 470, 481, 482, 488, 489, 495, 496, 499, 502, 504, 508, 511, 512, 513, 520, 521, 523, 524, 530, 539, 546, 547, 548, 554, 555, 556, 557, 561, 566, 577, 593, 595, 597, 599, 604, 619, 620, 626, 627, 629, 632, 642, 643, 644, 645, 646, 650, 660, 666, 667, 671, 674, 675, 676, 678, 689, 692, 701, 703, 711, 712, 718, 730, 732, 738, 743, 746, 760, 765, 776, 777, 782, 783, 784, 785, 786, 788, 791, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 808, 811, 818, 828, 829, 830, 832, 833, 835, 838, 839, 840, 850, 852, 861, 865, 868, 869, 870, 871, 876, 883, 884, 886, 887, 888, 889, 891, 892, 893, 895, 897, 904, 907, 910, 911, 912, 913, 914, 915, 916, 931, 943, 945, 952, 957, 958, 961, 962, 965, 966], "ones": [29, 57, 90, 111, 116, 140, 169, 198, 206, 211, 213, 214, 217, 235, 236, 257, 272, 285, 289, 315, 326, 330, 343, 463, 524, 549, 550, 556, 557, 601, 645, 670, 715, 721, 728, 780, 931, 952], "ones_lik": [212, 259, 260], "onevsrestclassifi": [36, 41], "onewai": 289, "ongo": [233, 318, 322, 646], "onli": [30, 34, 36, 37, 38, 45, 47, 48, 57, 60, 65, 67, 70, 71, 73, 75, 76, 81, 90, 91, 98, 102, 103, 107, 110, 111, 116, 119, 122, 123, 124, 125, 126, 132, 136, 138, 141, 143, 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805, 806], "onselect": [869, 914], "onset": [30, 34, 35, 59, 60, 102, 141, 146, 151, 163, 164, 165, 168, 172, 174, 194, 196, 220, 230, 231, 233, 242, 247, 272, 289, 290, 291, 293, 296, 311, 312, 323, 325, 330, 331, 337, 338, 429, 518, 530, 556, 557, 568, 577, 646, 663, 695, 699, 807, 808, 809], "onto": [42, 44, 66, 101, 163, 164, 170, 183, 194, 198, 203, 208, 224, 229, 235, 236, 239, 253, 286, 294, 297, 305, 309, 323, 326, 343, 345, 351, 353, 497, 677, 743, 771, 850, 868, 903, 922], "onward": [217, 744], "oostendorp": [279, 322], "oostenveld": [208, 262, 279, 293, 314, 782, 783, 785, 786], "op": [155, 212, 213, 238, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 556, 557], "opac": [50, 57, 61, 66, 72, 85, 121, 184, 199, 305, 329, 339, 340, 347, 548, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 852, 861, 887, 911, 917, 923], "opaqu": [199, 200, 296, 347], "open": [29, 31, 37, 39, 40, 41, 42, 44, 54, 55, 58, 59, 60, 68, 71, 72, 75, 88, 96, 97, 98, 99, 100, 101, 102, 103, 105, 108, 111, 112, 116, 121, 122, 125, 126, 128, 129, 132, 133, 136, 138, 139, 140, 142, 144, 146, 147, 150, 153, 160, 161, 163, 169, 170, 172, 174, 178, 179, 180, 183, 184, 189, 190, 193, 194, 195, 196, 197, 200, 205, 208, 210, 211, 214, 225, 228, 229, 230, 232, 233, 234, 235, 236, 238, 239, 245, 248, 253, 254, 259, 260, 261, 262, 265, 267, 271, 272, 275, 279, 285, 286, 294, 302, 305, 309, 316, 317, 323, 325, 336, 337, 338, 339, 340, 347, 350, 456, 556, 557, 643, 651, 759, 890, 895, 905, 913, 952, 956, 958, 962, 964, 965], "open_brows": 347, "open_doc": [14, 286, 971], "open_report": [14, 200, 289, 305, 347], "openbla": [199, 952, 958], "openblas_num_thread": 952, "opengl": [199, 337, 338, 556, 557, 643, 882, 899, 905, 957, 958, 964, 968], "openli": 316, "openmeeg": [199, 307, 600, 605, 958, 965], "openmp": 952, "openneuro": [318, 965], "openwetwar": [344, 348, 352, 910], "oper": [22, 26, 29, 31, 33, 34, 37, 44, 48, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 69, 70, 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758, 759, 760, 773, 782, 783, 784, 785, 786, 789, 792, 795, 796, 797, 798, 801, 802, 803, 804, 829, 830, 831, 832, 833, 834, 836, 868, 876, 883, 909, 917, 920, 921, 944, 952, 955, 957, 964, 972], "opinion": 316, "opm": [14, 28, 32, 53, 134, 135, 193, 199, 243, 244, 279, 297, 309, 325, 326, 334, 335, 337, 339, 340, 341, 342, 348, 376, 429, 433, 434, 439, 509, 530, 532, 556, 580, 600, 605, 606, 609, 610, 616, 621, 637, 640, 642, 657, 700, 713, 742, 805, 844, 850, 868, 877, 880, 920, 971, 972], "opm_coil_def_fnam": 138, "opm_data": [31, 32, 972], "opm_empty_room_raw": 138, "opm_erm_fnam": 138, "opm_fil": 241, "opm_fnam": 138, "opm_resting_state_raw": 138, "opm_sampl": [31, 138], "opm_sef_raw": 31, "opm_tran": 138, "opmeg": 580, "oppenheim": [279, 336, 337, 338, 339, 340, 795, 796, 797, 801, 802, 803, 804], "opportun": [241, 279, 318, 323], "oppos": [52, 87, 254, 284, 315, 325, 422, 498, 775], "opposit": [170, 196, 326, 597], "opt": [199, 315, 964], "optic": [28, 32, 53, 104, 193, 217, 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189, 196, 197, 198, 199, 200, 206, 208, 217, 219, 221, 225, 228, 229, 230, 231, 232, 234, 235, 237, 238, 239, 241, 245, 246, 247, 248, 252, 254, 257, 261, 262, 270, 272, 285, 288, 289, 291, 295, 301, 305, 306, 308, 311, 316, 318, 323, 324, 326, 331, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 400, 429, 489, 490, 492, 493, 495, 496, 497, 498, 499, 501, 502, 503, 506, 512, 530, 540, 548, 556, 557, 566, 583, 643, 644, 663, 688, 689, 707, 708, 738, 775, 777, 782, 784, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 836, 852, 868, 878, 886, 887, 890, 895, 898, 899, 906, 923, 924, 952, 955, 957], "possibli": [168, 177, 194, 200, 231, 259, 260, 305, 322, 337, 338, 339, 340, 346, 349, 370, 371, 384, 429, 433, 434, 445, 446, 447, 462, 489, 496, 532, 533, 551, 553, 554, 556, 557, 559, 621, 643, 662, 670, 777, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 850, 884, 891, 892, 904], "post": [75, 149, 208, 231, 236, 239, 315, 316, 317, 325, 952, 964, 965], "postcenlab": 96, "postcentr": [73, 96], "posterior": [164, 184, 188, 305, 325, 343, 386, 398, 551, 771], "posteriorcingul": 73, "posteriori": 326, "posteriorli": 164, "postfix": 198, "posthoc": 965, "postpon": [332, 337, 338, 602, 704], "postselector": 33, "poststimulu": 231, "postsynapt": 326, "postur": [111, 234], "potenti": [37, 41, 73, 98, 99, 101, 107, 116, 130, 146, 157, 169, 172, 181, 182, 193, 196, 200, 225, 229, 231, 232, 233, 237, 257, 258, 261, 272, 275, 279, 284, 286, 287, 316, 322, 323, 326, 337, 338, 339, 340, 342, 343, 348, 383, 388, 428, 435, 445, 470, 528, 545, 546, 556, 557, 558, 634, 644, 651, 652, 708, 757, 760, 775, 781, 788, 867, 876, 883, 913, 937, 952, 972], "pound": [326, 409], "powel": 306, "power": [26, 38, 47, 53, 58, 62, 64, 82, 87, 96, 99, 103, 110, 111, 134, 135, 141, 142, 143, 144, 150, 157, 161, 165, 171, 173, 174, 177, 178, 190, 193, 194, 200, 208, 211, 214, 220, 224, 230, 231, 235, 238, 240, 241, 248, 252, 255, 256, 258, 262, 263, 264, 270, 279, 282, 285, 287, 289, 290, 291, 293, 294, 295, 296, 301, 302, 305, 306, 311, 312, 315, 316, 323, 325, 334, 337, 338, 339, 340, 341, 342, 343, 344, 345, 348, 351, 352, 353, 361, 362, 363, 364, 367, 370, 371, 392, 428, 429, 433, 434, 489, 491, 494, 496, 497, 500, 502, 523, 525, 527, 528, 529, 530, 556, 557, 563, 598, 600, 605, 609, 610, 611, 616, 617, 621, 624, 626, 627, 634, 639, 640, 643, 700, 708, 713, 715, 728, 742, 748, 759, 774, 776, 777, 778, 779, 782, 783, 784, 785, 786, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 811, 820, 821, 829, 830, 831, 832, 833, 834, 844, 850, 868, 875, 876, 877, 883, 884, 886, 889, 891, 892, 897, 903, 906, 912, 920, 952, 972], "power_": [829, 830], "power_approach1": 254, "power_approach2": 254, "power_grad": 418, "power_mag": 418, "powerpc": 964, "poz": [90, 157, 272], "pp": [190, 337, 338, 510, 777], "ppa": 964, "ppe": 751, "ppf": [126, 240, 257, 259, 262, 265, 266, 683, 782, 783, 785, 786], "pr": [312, 313, 318], "prabhakar": [279, 312, 314, 669], "practic": [57, 99, 128, 143, 179, 188, 196, 230, 231, 237, 239, 272, 279, 315, 316, 318, 325, 326, 343, 370, 513, 643, 652, 715, 721, 781], "pradhan": [295, 314], "praveen": [302, 303, 314], "pre": [69, 75, 168, 169, 190, 194, 208, 230, 231, 234, 245, 252, 291, 294, 301, 303, 313, 315, 337, 338, 339, 340, 429, 556, 557, 643, 735, 738, 801, 959, 963, 968], "pre_affin": 349, "pre_dispatch": 506, "pre_whitener_": 643, "preamp": 93, "preauricular": [184, 325, 326, 386, 410], "prebuilt": 957, "preced": [196, 281, 282, 283, 284, 292, 298, 299, 300, 301, 302, 303, 304, 315, 325, 435, 850], "precentr": [73, 163], "precis": [41, 73, 98, 119, 165, 185, 212, 221, 231, 232, 239, 245, 254, 289, 301, 306, 322, 331, 337, 338, 343, 370, 371, 530, 556, 557, 580, 681, 750, 752, 771, 775, 829, 830, 832, 833, 952], "precision_scor": [14, 119], "preclud": [179, 231, 239, 279, 681], "precomput": [36, 184, 199, 209, 220, 289, 337, 338, 435, 556, 557, 643, 742, 795, 796, 800, 802, 804, 806, 882, 899, 905], "precondit": [234, 239, 279, 306, 643, 682], "preconditon": 965, "precuneu": 73, "pred": 41, "pred_evok": 204, "predefin": [198, 325], "predict": [30, 36, 38, 39, 41, 42, 43, 46, 53, 68, 130, 165, 169, 204, 224, 225, 279, 297, 305, 323, 342, 370, 386, 402, 449, 492, 495, 499, 501, 506, 529, 557, 611, 618, 914, 972], "predict_mod": 286, "predict_proba": [36, 492, 499], "predictor": [128, 169, 257, 642, 696, 781], "predictor_var": 30, "predominantli": 240, "preexist": 658, "prefer": [170, 179, 198, 199, 218, 219, 221, 231, 234, 235, 315, 316, 317, 326, 332, 337, 338, 339, 340, 435, 496, 518, 537, 556, 557, 643, 737, 795, 799, 801, 803, 805, 906, 957, 962, 964, 965], "prefilt": 312, "prefix": [30, 103, 183, 198, 203, 325, 329, 334, 337, 338, 339, 340, 346, 430, 431, 489, 496, 556, 557, 566, 573, 574, 642, 643, 658, 694, 705, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 869, 891, 895, 904, 907, 912], "preflood": [329, 383, 952], "prefront": 234, "preliminari": 322, "preload": [26, 29, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 47, 58, 59, 60, 68, 75, 95, 98, 99, 100, 101, 102, 109, 110, 111, 112, 116, 128, 132, 136, 139, 141, 142, 143, 146, 150, 151, 161, 165, 168, 169, 170, 172, 173, 174, 177, 179, 180, 187, 194, 195, 198, 200, 208, 210, 211, 212, 213, 214, 217, 220, 225, 228, 230, 233, 234, 235, 236, 240, 241, 242, 245, 253, 254, 259, 260, 261, 262, 265, 267, 270, 271, 272, 282, 286, 287, 290, 291, 294, 295, 298, 304, 305, 306, 311, 322, 323, 329, 337, 338, 339, 340, 344, 345, 347, 348, 351, 352, 353, 422, 438, 555, 556, 557, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 602, 655, 656, 660, 661, 704, 706, 710, 735, 738, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 882, 905], "preload_at_end": 332, "preload_data": [282, 304], "prentic": [279, 336, 337, 338, 339, 340, 795, 796, 797, 801, 802, 803, 804], "prep": 965, "prepar": [33, 37, 38, 45, 47, 54, 55, 56, 60, 64, 65, 66, 67, 68, 70, 71, 73, 74, 76, 80, 81, 83, 84, 85, 87, 107, 115, 119, 123, 133, 136, 137, 138, 139, 148, 154, 178, 194, 199, 205, 206, 207, 209, 210, 220, 225, 229, 236, 241, 253, 254, 259, 265, 276, 289, 295, 304, 312, 315, 381, 392, 403, 445, 446, 610, 611, 612, 613, 614, 616, 617, 623, 626, 627, 682], "prepare_bem_model": 293, "prepare_inverse_oper": [14, 304, 610, 611, 612, 613, 614, 616, 617, 626, 627, 971], "prepare_noise_cov": [14, 304, 445, 971], "prepend": [339, 340, 577], "preprat": 185, "preprocess": [14, 26, 29, 30, 33, 35, 36, 37, 39, 40, 41, 42, 44, 45, 96, 98, 99, 100, 101, 103, 104, 105, 108, 109, 110, 111, 112, 113, 116, 128, 141, 151, 165, 172, 174, 200, 212, 214, 217, 220, 221, 224, 225, 228, 229, 230, 231, 233, 234, 235, 236, 238, 239, 242, 244, 248, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 300, 301, 302, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 318, 323, 324, 325, 326, 331, 334, 337, 338, 339, 340, 341, 342, 347, 348, 428, 429, 489, 493, 496, 498, 510, 518, 530, 556, 557, 578, 580, 588, 605, 609, 610, 621, 637, 640, 706, 805, 850, 868, 872, 876, 882, 885, 890, 894, 895, 896, 897, 898, 899, 905, 952, 955, 965, 971, 972], "preregist": 272, "prerequisit": 322, "preselector": 33, "presenc": [199, 229, 240, 254, 272, 279, 284, 293, 295, 306, 315, 322, 342, 468, 513, 522, 556, 557], "present": [26, 30, 33, 36, 38, 39, 42, 47, 57, 66, 69, 70, 97, 110, 145, 148, 153, 156, 162, 168, 170, 172, 177, 178, 186, 194, 196, 197, 198, 208, 217, 218, 220, 221, 228, 229, 233, 235, 236, 237, 239, 242, 246, 248, 257, 261, 265, 266, 267, 279, 284, 285, 286, 288, 290, 291, 293, 294, 296, 301, 304, 305, 307, 309, 312, 313, 322, 323, 325, 326, 329, 330, 332, 334, 337, 338, 339, 340, 342, 344, 345, 346, 347, 348, 350, 351, 352, 353, 356, 357, 358, 361, 370, 371, 376, 381, 386, 392, 394, 398, 403, 408, 418, 422, 429, 433, 434, 435, 444, 445, 446, 447, 468, 489, 496, 508, 510, 513, 518, 530, 531, 532, 533, 537, 551, 553, 554, 556, 557, 559, 564, 566, 569, 573, 575, 581, 583, 589, 601, 609, 621, 640, 642, 643, 645, 646, 653, 654, 658, 660, 663, 671, 681, 689, 708, 709, 758, 763, 780, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 820, 837, 850, 868, 869, 875, 876, 884, 886, 888, 891, 892, 895, 902, 904, 905, 906, 907, 908, 911, 912, 914, 964], "preserv": [47, 60, 183, 184, 188, 194, 195, 224, 229, 234, 245, 257, 261, 289, 293, 294, 305, 306, 326, 332, 337, 338, 339, 340, 488, 519, 520, 521, 522, 556, 557, 577, 660, 677, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "preset": [189, 344, 345, 348, 351, 352, 353, 850, 910, 915], "press": [97, 99, 142, 150, 157, 168, 170, 172, 179, 180, 184, 189, 194, 196, 200, 220, 228, 230, 246, 247, 248, 279, 286, 290, 291, 323, 337, 338, 429, 515, 528, 551, 556, 557, 643, 652, 882, 897, 899, 905], "pressur": 677, "presum": 236, "presurgeri": 164, "pretend": [254, 257], "pretti": [30, 169, 172, 231, 234, 236, 952], "prevent": [71, 98, 149, 229, 239, 280, 283, 285, 287, 293, 294, 297, 305, 306, 307, 308, 312, 313, 595, 648, 676, 681, 759], "preview": 285, "previou": [98, 102, 151, 168, 172, 179, 189, 198, 199, 200, 209, 230, 231, 235, 237, 248, 285, 289, 291, 294, 297, 313, 315, 339, 340, 370, 371, 429, 433, 434, 445, 446, 447, 489, 495, 496, 532, 533, 551, 553, 554, 621, 653, 670, 681, 850, 870, 892, 962, 967], "previous": [172, 177, 198, 233, 234, 280, 284, 285, 286, 293, 294, 296, 297, 305, 306, 312, 329, 363, 370, 371, 731, 850], "prichep": [279, 326, 610], "primari": [58, 123, 177, 316, 326], "primarili": [45, 98, 198, 228, 231, 242, 325, 491, 556, 557, 695, 795, 874, 965], "prime": [188, 198], "primer": [279, 784], "princip": [73, 234, 235, 279, 283, 326, 343, 429, 643, 771], "principl": [141, 232, 257, 262, 279, 324, 326, 659], "print": [26, 27, 30, 31, 33, 34, 36, 37, 39, 40, 41, 42, 44, 45, 48, 50, 54, 55, 56, 58, 59, 60, 63, 64, 65, 66, 67, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 90, 92, 97, 98, 99, 100, 101, 103, 105, 107, 108, 111, 112, 114, 115, 116, 121, 122, 123, 124, 125, 126, 129, 130, 132, 133, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 150, 153, 157, 159, 160, 161, 163, 164, 165, 168, 169, 170, 171, 172, 174, 177, 178, 179, 184, 185, 186, 187, 188, 194, 195, 196, 197, 198, 199, 203, 204, 207, 209, 210, 211, 212, 213, 214, 220, 225, 229, 230, 231, 232, 234, 235, 236, 237, 238, 239, 242, 245, 246, 247, 252, 253, 254, 257, 258, 260, 261, 262, 265, 266, 267, 270, 271, 272, 275, 279, 282, 293, 297, 302, 306, 307, 310, 323, 329, 337, 338, 339, 340, 429, 470, 524, 530, 556, 557, 585, 592, 739, 740, 794, 799, 800, 801, 802, 845, 852, 859, 876, 887, 889, 892, 952, 962, 964], "print_peak_measur": 179, "print_tabl": [153, 213], "printopt": 73, "prior": [29, 37, 38, 44, 53, 54, 55, 56, 60, 62, 64, 65, 66, 70, 73, 78, 82, 83, 84, 87, 119, 133, 136, 137, 139, 142, 154, 170, 177, 179, 190, 194, 200, 206, 207, 208, 209, 214, 221, 225, 234, 237, 239, 241, 248, 253, 262, 265, 267, 288, 293, 294, 326, 334, 335, 339, 341, 342, 348, 370, 371, 533, 534, 551, 552, 553, 554, 556, 557, 575, 609, 610, 621, 643, 653, 670, 681, 702, 711, 713, 795, 850, 879, 880, 905, 911, 972], "priori": [179, 272, 326], "prioriti": 962, "privaci": [316, 964], "privat": [57, 304, 312, 315], "privileg": 316, "prj": [556, 557, 905], "prni": [66, 72, 279, 554], "pro": [228, 231, 315], "probabilist": [36, 279, 326, 429, 492, 499], "probabl": [73, 98, 193, 217, 228, 229, 230, 231, 234, 235, 257, 259, 262, 272, 315, 326, 499, 518, 556, 557, 570, 850, 909, 964, 965], "probe": [307, 582], "problem": [57, 66, 85, 98, 102, 116, 125, 126, 143, 165, 172, 189, 194, 203, 204, 217, 218, 225, 229, 233, 234, 236, 237, 245, 257, 258, 262, 265, 266, 267, 272, 279, 285, 287, 288, 289, 290, 294, 306, 312, 315, 318, 326, 553, 574, 643, 670, 699, 705, 782, 783, 785, 786, 788, 789, 918, 952, 953, 958, 965], "problemat": [189, 218, 231, 234, 235, 239, 257, 337, 338, 347, 382, 404], "proc_histori": [197, 337, 338, 339, 340, 342, 556, 557, 558], "proce": [179, 332, 337, 338, 481, 643, 646, 653, 860, 952], "procedur": [45, 142, 172, 189, 190, 217, 233, 234, 239, 257, 259, 260, 261, 267, 272, 279, 293, 305, 323, 325, 326, 330, 332, 337, 338, 339, 340, 344, 345, 348, 351, 352, 353, 422, 429, 434, 497, 556, 557, 643, 644, 658, 660, 679, 689, 711, 782, 952], "proceed": [41, 59, 66, 72, 116, 194, 208, 233, 234, 254, 279, 322, 326, 337, 338, 363, 370, 554, 644, 801, 831, 834], "process": [13, 14, 30, 33, 53, 54, 58, 60, 71, 77, 85, 96, 97, 108, 112, 116, 130, 152, 163, 170, 171, 172, 177, 179, 180, 183, 184, 188, 189, 190, 194, 199, 200, 205, 210, 212, 217, 229, 230, 231, 232, 234, 235, 236, 237, 239, 241, 245, 247, 252, 257, 258, 259, 267, 272, 279, 287, 289, 290, 294, 296, 297, 303, 304, 305, 310, 312, 316, 320, 322, 323, 326, 329, 334, 336, 337, 338, 339, 340, 342, 344, 345, 347, 348, 351, 352, 353, 360, 362, 364, 370, 371, 373, 429, 433, 434, 437, 445, 446, 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799, 801, 803, 805, 814, 820], "tbme": [34, 41, 99, 112, 116, 146, 225, 234, 279, 322, 323, 456, 489, 643, 644, 652, 689], "tc": 65, "tcsh": [959, 964], "tcshrc": 964, "tddr": [104, 279, 294, 306, 688], "te": [279, 293, 314, 643], "teach": [189, 205, 279, 305], "teal": 867, "team": [315, 316], "technic": [217, 270, 279, 316, 322, 326, 337, 338, 339, 340, 556, 557, 610, 795, 797, 799, 801, 803, 805, 814, 820], "technician": [98, 322, 323], "techniqu": [42, 43, 46, 53, 85, 98, 101, 103, 104, 177, 179, 193, 194, 225, 228, 231, 233, 234, 236, 237, 239, 240, 241, 243, 254, 257, 279, 318, 323, 325, 326, 327, 337, 338, 339, 340, 342, 344, 345, 348, 351, 352, 353, 449, 491, 500, 503, 525, 527, 528, 556, 557, 640, 643, 708, 738, 972], "technisch": [328, 970], "technologi": [241, 279, 328, 970], "tediou": 234, "teekuninga": 289, "telecom": [26, 107, 115, 220], "telemetri": 482, "tell": [169, 178, 183, 190, 194, 199, 230, 234, 236, 242, 245, 259, 261, 267, 315, 317, 326, 350], "temazepam": [14, 290, 323, 481, 971], "temor": 258, "temp": 342, "temp_list": 178, "temperatur": [197, 245, 307, 323, 325, 326, 337, 338, 339, 340, 342, 385, 449, 556, 557, 640, 795, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806], "tempfil": 200, "tempita": 305, "templat": [12, 121, 122, 155, 163, 183, 185, 191, 192, 193, 198, 204, 262, 279, 287, 290, 291, 293, 296, 297, 303, 306, 310, 313, 325, 341, 342, 350, 357, 376, 386, 390, 391, 392, 402, 404, 408, 440, 449, 465, 514, 557, 573, 605, 658, 678, 700, 723, 743, 868, 920, 972], "template_eog_compon": 234, "template_fig": 658, "tempor": [39, 42, 45, 53, 72, 85, 106, 113, 134, 135, 142, 143, 163, 164, 165, 168, 170, 174, 179, 193, 208, 212, 214, 226, 227, 230, 231, 232, 233, 236, 239, 247, 257, 259, 260, 261, 262, 268, 269, 279, 283, 293, 294, 299, 301, 306, 312, 323, 324, 326, 332, 337, 338, 339, 340, 342, 348, 349, 350, 429, 435, 495, 501, 509, 512, 515, 529, 530, 532, 552, 553, 554, 556, 557, 602, 606, 609, 610, 624, 626, 627, 640, 643, 645, 659, 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"Optically pumped magnetometer (OPM) data", "Computation times", "From raw data to dSPM on SPM Faces dataset", "Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP)", "Decoding in time-frequency space using Common Spatial Patterns (CSP)", "Representational Similarity Analysis", "Decoding source space data", "Continuous Target Decoding with SPoC", "Decoding sensor space data with generalization across time and conditions", "Analysis of evoked response using ICA and PCA reduction techniques", "XDAWN Decoding From EEG data", "Compute effect-matched-spatial filtering (EMS)", "Machine Learning (Decoding, Encoding, and MVPA)", "Linear classifier on sensor data with plot patterns and filters", "Receptive Field Estimation and Prediction", "Computation times", "Compute Spectro-Spatial Decomposition (SSD) spatial filters", "Display sensitivity maps for EEG and MEG sensors", "Forward modeling", "Generate a left cerebellum volume source space", "Computation times", "Use source space morphing", "Examples Gallery", "Compute MNE-dSPM inverse solution on single epochs", "Compute sLORETA inverse solution on raw data", "Compute MNE-dSPM inverse solution on evoked data in volume source space", "Source localization with a custom inverse solver", "Compute source level time-frequency timecourses using a DICS beamformer", "Compute source power using DICS beamformer", "Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM", "Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method", "Inverse problem and source analysis", "Extracting time course from source_estimate object", "Generate a functional label from source estimates", "Extracting the time series of activations in a label", "Compute sparse inverse solution with mixed norm: MxNE and irMxNE", "Compute MNE inverse solution on evoked data with a mixed source space", "Compute source power estimate by projecting the covariance with MNE", "Morph surface source estimate", "Morph volumetric source estimate", "Computing source timecourses with an XFit-like multi-dipole model", "Compute iterative reweighted TF-MxNE with multiscale time-frequency dictionary", "Visualize source leakage among labels using a circular graph", "Plot point-spread functions (PSFs) and cross-talk functions (CTFs)", "Compute cross-talk functions for LCMV beamformers", "Plot point-spread functions (PSFs) for a volume", "Compute Rap-Music on evoked data", "Reading an inverse operator", "Reading an STC file", "Compute spatial resolution metrics in source space", "Compute spatial resolution metrics to compare MEG with EEG+MEG", "Computation times", "Estimate data SNR using an inverse", "Computing source space SNR", "Compute MxNE with time-frequency sparse prior", "Compute Trap-Music on evoked data", "Plotting the full vector-valued MNE solution", "Getting averaging info from .fif files", "Input/Output", "Getting impedances from raw files", "How to use data in neural ensemble (NEO) format", "Reading/Writing a noise covariance matrix", "Reading XDF EEG data", "Computation times", "Using contralateral referencing for EEG", "Cortical Signal Suppression (CSS) for removal of cortical signals", "Define target events based on time lag, plot evoked response", "Identify EEG Electrodes Bridged by too much Gel", "Transform EEG data using current source density (CSD)", "Show EOG artifact timing", "Reduce EOG artifacts through regression", "Automated epochs metadata generation with variable time windows", "Find MEG reference channel artifacts", "Visualise NIRS artifact correction methods", "Compare the different ICA algorithms in MNE", "Preprocessing", "Interpolate bad channels for MEG/EEG channels", "Maxwell filter data with movement compensation", "Annotate movement artifacts and reestimate dev_head_t", "Annotate muscle artifacts", "Removing muscle ICA components", "Plot sensor denoising using oversampled temporal projection", "Computation times", "Shifting time-scale in evoked data", "Remap MEG channel types", "XDAWN Denoising", "Computation times", "Data Simulation", "Compare simulated and estimated source activity", "Computation times", "Generate simulated evoked data", "Generate simulated raw data", "Simulate raw data using subject anatomy", "Generate simulated source data", "Permutation F-test on sensor data with 1D cluster level", "FDR correction on T-test on sensor data", "Statistics Examples", "Regression on continuous data (rER[P/F])", "Permutation T-test on sensor data", "Analysing continuous features with binning and regression in sensor space", "Computation times", "Compute a cross-spectral density (CSD) matrix", "Compute Power Spectral Density of inverse solution from single epochs", "Time-Frequency Examples", "Computation times", "Compute power and phase lock in label of the source space", "Compute source power spectral density (PSD) in a label", "Compute source power spectral density (PSD) of VectorView and OPM data", "Compute induced power in the source space with dSPM", "Temporal whitening with AR model", "Compute and visualize ERDS maps", "Explore event-related dynamics for specific frequency bands", "Time-frequency on simulated data (Multitaper vs. Morlet vs. Stockwell vs. Hilbert)", "How to convert 3D electrode positions to a 2D image", "Plotting with <code class=\"docutils literal notranslate\"><span class=\"pre\">mne.viz.Brain</span></code>", "Visualize channel over epochs as an image", "Plotting EEG sensors on the scalp", "Plotting topographic arrowmaps of evoked data", "Plotting topographic maps of evoked data", "Whitening evoked data with a noise covariance", "Plotting eye-tracking heatmaps in MNE-Python", "Visualization", "Plotting sensor layouts of MEG systems", "Plot the MNE brain and helmet", "Plotting sensor layouts of EEG systems", "Plot a cortical parcellation", "Plot single trial activity, grouped by ROI and sorted by RT", "Computation times", "Sensitivity map of SSP projections", "Compare evoked responses for different conditions", "Plot custom topographies for MEG sensors", "Cross-hemisphere comparison", "Working with sEEG data", "Working with ECoG data", "Sleep stage classification from polysomnography (PSG) data", "Clinical applications", "Computation times", "The Epochs data structure: discontinuous data", "Regression-based baseline correction", "Visualizing epoched data", "Working with Epoch metadata", "Auto-generating Epochs metadata", "Exporting Epochs to Pandas DataFrames", "Divide continuous data into equally-spaced epochs", "Segmenting continuous data into epochs", "Computation times", "The Evoked data structure: evoked/averaged data", "Visualizing Evoked data", "EEG analysis - Event-Related Potentials (ERPs)", "Plotting whitened data", "Estimating evoked responses", "Computation times", "FreeSurfer MRI reconstruction", "Source alignment and coordinate frames", "Using an automated approach to coregistration", "Head model and forward computation", "EEG forward operator with a template MRI", "How MNE uses FreeSurfer\u2019s outputs", "Fixing BEM and head surfaces", "Computing a covariance matrix", "Forward models and source spaces", "Computation times", "Tutorials", "Overview of MEG/EEG analysis with MNE-Python", "Modifying data in-place", "Parsing events from raw data", "The Info data structure", "Working with sensor locations", "Configuring MNE-Python", "Getting started with mne.Report", "Introductory tutorials", "Computation times", "The SourceEstimate data structure", "Source localization with equivalent current dipole (ECD) fit", "Source localization with MNE, dSPM, sLORETA, and eLORETA", "The role of dipole orientations in distributed source localization", "Computing various MNE solutions", "Source reconstruction using an LCMV beamformer", "Visualize source time courses (stcs)", "EEG source localization given electrode locations on an MRI", "Brainstorm Elekta phantom dataset tutorial", "Brainstorm CTF phantom dataset tutorial", "4D Neuroimaging/BTi phantom dataset tutorial", "KIT phantom dataset tutorial", "Source localization and inverses", "Computation times", "Importing data from MEG devices", "Importing data from EEG devices", "Importing data from fNIRS devices", "Working with CTF data: the Brainstorm auditory dataset", "Importing Data from Eyetracking devices", "Reading data for different recording systems", "Computation times", "Spectro-temporal receptive field (STRF) estimation on continuous data", "Decoding (MVPA)", "Machine learning models of neural activity", "Computation times", "Overview of artifact detection", "Handling bad channels", "Rejecting bad data spans and breaks", "Background information on filtering", "Filtering and resampling data", "Repairing artifacts with regression", "Repairing artifacts with ICA", "Background on projectors and projections", "Repairing artifacts with SSP", "Setting the EEG reference", "Extracting and visualizing subject head movement", "Signal-space separation (SSS) and Maxwell filtering", "Preprocessing functional near-infrared spectroscopy (fNIRS) data", "Preprocessing optically pumped magnetometer (OPM) MEG data", "Working with eye tracker data in MNE-Python", "Preprocessing", "Computation times", "The Raw data structure: continuous data", "Working with events", "Annotating continuous data", "Built-in plotting methods for Raw objects", "Working with continuous data", "Computation times", "Computation times", "Creating MNE-Python data structures from scratch", "Corrupt known signal with point spread", "DICS for power mapping", "Simulation", "Computation times", "Statistical inference", "Visualising statistical significance thresholds on EEG data", "Non-parametric 1 sample cluster statistic on single trial power", "Non-parametric between conditions cluster statistic on single trial power", "Mass-univariate twoway repeated measures ANOVA on single trial power", "Spatiotemporal permutation F-test on full sensor data", "Statistical analysis of sensor data", "Computation times", "Permutation t-test on source data with spatio-temporal clustering", "2 samples permutation test on source data with spatio-temporal clustering", "Repeated measures ANOVA on source data with spatio-temporal clustering", "Statistical analysis of source estimates", "Computation times", "The Spectrum and EpochsSpectrum classes: frequency-domain data", "Frequency and time-frequency sensor analysis", "Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset", "Time-frequency analysis", "Computation times", "Make figures more publication ready", "Using the event system to link figures", "Visualization tutorials", "Computation times", "General bibliography", "Version 1.9.0.dev59+ged933b8d9 (development) (2024-10-03)", "Version 0.1 (2011-09-23)", "Version 0.10 (2015-10-26)", "Version 0.11 (2015-12-24)", "Version 0.12 (2016-05-10)", "Version 0.13 (2016-09-27)", "Version 0.14 (2017-03-24)", "Version 0.15 (2017-10-20)", "Version 0.16 (2018-05-01)", "Version 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"mne.time_frequency.Spectrum", "mne.time_frequency.SpectrumArray", "mne.time_frequency.csd_array_fourier", "mne.time_frequency.csd_array_morlet", "mne.time_frequency.csd_array_multitaper", "mne.time_frequency.csd_fourier", "mne.time_frequency.csd_morlet", "mne.time_frequency.csd_multitaper", "mne.time_frequency.csd_tfr", "mne.time_frequency.dpss_windows", "mne.time_frequency.fit_iir_model_raw", "mne.time_frequency.fwhm", "mne.time_frequency.istft", "mne.time_frequency.morlet", "mne.time_frequency.pick_channels_csd", "mne.time_frequency.psd_array_multitaper", "mne.time_frequency.psd_array_welch", "mne.time_frequency.read_csd", "mne.time_frequency.read_spectrum", "mne.time_frequency.read_tfrs", "mne.time_frequency.stft", "mne.time_frequency.stftfreq", "mne.time_frequency.tfr.cwt", "mne.time_frequency.tfr.morlet", "mne.time_frequency.tfr_array_morlet", "mne.time_frequency.tfr_array_multitaper", "mne.time_frequency.tfr_array_stockwell", "mne.time_frequency.tfr_morlet", 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"mne.viz.plot_alignment", "mne.viz.plot_arrowmap", "mne.viz.plot_bem", "mne.viz.plot_brain_colorbar", "mne.viz.plot_bridged_electrodes", "mne.viz.plot_ch_adjacency", "mne.viz.plot_channel_labels_circle", "mne.viz.plot_chpi_snr", "mne.viz.plot_compare_evokeds", "mne.viz.plot_cov", "mne.viz.plot_csd", "mne.viz.plot_dipole_amplitudes", "mne.viz.plot_dipole_locations", "mne.viz.plot_drop_log", "mne.viz.plot_epochs", "mne.viz.plot_epochs_image", "mne.viz.plot_epochs_psd_topomap", "mne.viz.plot_events", "mne.viz.plot_evoked", "mne.viz.plot_evoked_field", "mne.viz.plot_evoked_image", "mne.viz.plot_evoked_joint", "mne.viz.plot_evoked_topo", "mne.viz.plot_evoked_topomap", "mne.viz.plot_evoked_white", "mne.viz.plot_filter", "mne.viz.plot_head_positions", "mne.viz.plot_ica_components", "mne.viz.plot_ica_overlay", "mne.viz.plot_ica_properties", "mne.viz.plot_ica_scores", "mne.viz.plot_ica_sources", "mne.viz.plot_ideal_filter", "mne.viz.plot_layout", "mne.viz.plot_montage", "mne.viz.plot_projs_joint", "mne.viz.plot_projs_topomap", "mne.viz.plot_raw", "mne.viz.plot_raw_psd", "mne.viz.plot_regression_weights", "mne.viz.plot_sensors", "mne.viz.plot_snr_estimate", "mne.viz.plot_source_estimates", "mne.viz.plot_sparse_source_estimates", "mne.viz.plot_tfr_topomap", "mne.viz.plot_topo_image_epochs", "mne.viz.plot_topomap", "mne.viz.plot_vector_source_estimates", "mne.viz.plot_volume_source_estimates", "mne.viz.set_3d_backend", "mne.viz.set_3d_options", "mne.viz.set_3d_title", "mne.viz.set_3d_view", "mne.viz.set_browser_backend", "mne.viz.snapshot_brain_montage", "mne.viz.ui_events.ColormapRange", "mne.viz.ui_events.Contours", "mne.viz.ui_events.FigureClosing", "mne.viz.ui_events.PlaybackSpeed", "mne.viz.ui_events.TimeChange", "mne.viz.ui_events.UIEvent", "mne.viz.ui_events.VertexSelect", "mne.viz.ui_events.disable_ui_events", "mne.viz.ui_events.link", "mne.viz.ui_events.publish", "mne.viz.ui_events.subscribe", "mne.viz.ui_events.unlink", "mne.viz.ui_events.unsubscribe", "mne.viz.use_3d_backend", "mne.viz.use_browser_backend", "mne.what", "mne.write_bem_solution", "mne.write_bem_surfaces", "mne.write_cov", "mne.write_events", "mne.write_evokeds", "mne.write_forward_solution", "mne.write_head_bem", "mne.write_label", "mne.write_labels_to_annot", "mne.write_proj", "mne.write_source_spaces", "mne.write_surface", "mne.write_trans", "Frequently Asked Questions (FAQ)", "Getting help", "Getting started with Python", "Migrating from other analysis software", "MNE", "Advanced setup", "Testing your installation", "Installing FreeSurfer", "Installing MNE-Python", "MNE-Python installers", "Install via <code class=\"code docutils literal notranslate\"><span class=\"pre\">pip</span></code> or <code class=\"code docutils literal notranslate\"><span class=\"pre\">conda</span></code>", "Installing Python", "Installing MNE-C", "Overview of the MNE tools suite", "Updating MNE-Python", "Martinos Center setup", "MNE with CPP", "Archived documentation for old versions", "Current steering council and institutional partners", "Unused API Entries", "Computation times"], "titleterms": {"": [111, 143, 188, 319], "0": [280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313], "01": 288, "03": [280, 286, 293, 297, 298, 305, 306], "04": [296, 312], "05": [284, 288, 290, 304, 309], "06": [301, 303, 312], "08": [292, 299, 306, 310, 313], "09": [281, 285, 291, 294], "1": [259, 280, 281, 305, 306, 307, 308, 309, 310, 311, 312, 313], "10": [280, 282, 284, 287, 307, 309], "1000": 322, "11": [283, 289, 292, 297, 302, 307, 311], "12": [272, 283, 284, 295, 300, 308], "13": 285, "14": [286, 310, 312], "15": [272, 287, 301], "16": 288, "17": [289, 295], "18": [290, 313], "19": [289, 290, 291, 312], "1d": 125, "2": [266, 292, 307], "20": [287, 293, 311], "2011": [281, 292], "2012": [298, 299, 300], "2013": [301, 302], "2014": 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