Version 1.11.0.dev49+g07a63fdb3 (development) (2025-09-04)

Bugfixes

• Handle scenario where an Eyelink recording switched from binocular to monocular mode during a trial by Scott Huberty (#12847)

• Fix bug with mne.io.read_raw_egi() where info["dev_head_t"] was an identity matrix instead of None, by Eric Larson. (#13112)

• Fix bug with mne.open_report() not working with old saved files, by Eric Larson. (#13341)

• Restore clipping=3 in plot() (which was mistakenly changed to 1.5) to reduce excessive clipping of raw data, by Clemens Brunner. (#13354)

• Make read_raw_eyelink() work with ASCII files collected with Eye Event Mode set to “HREF” by Scott Huberty. (#13357)

• model parameter of mne.decoding.LinearModel will not be modified, use model_ attribute to access the fitted model. To be compatible with all MNE-Python versions you can use getattr(clf, "model_", getattr(clf, "model")) The provided model is expected to be a supervised predictor, i.e. classifier or regressor (or sklearn.multiclass.OneVsRestClassifier), otherwise an error will be raised. by Gennadiy Belonosov. (#13361)

• Fix the check in mne.make_forward_solution() that all MEG sensors are outside a spherical BEM model, by Marijn van Vliet (#13371)

• Fix bug with mne.grand_average() not working with mne.time_frequency.Spectrum objects, by Thomas Binns. (#13375)

• Ensure auto-computed plot scalings are always non-zero, by Daniel McCloy. (#13376)

• Fix plot_evoked_joint() docstring to correctly document exclude parameter default as 'bads' instead of None, by new contributor Tharupahan Jayawardana. (#13391)

• Make decoding classes sklearn-compliant, by Gennadiy Belonosov. (#13393)

• Fix loading problems caused by attempting to iterate floats in read_epochs_eeglab() for specific EEGLab data, by new contributor Emrecan Çelik. (#13395)

New features

• Implement GEDTransformer superclass that generalizes mne.decoding.CSP, mne.decoding.SPoC, mne.decoding.XdawnTransformer, mne.decoding.SSD and fix related bugs and inconsistencies, by Gennadiy Belonosov. (#13259)

• Implement mne.decoding.SpatialFilter class returned by mne.decoding.get_spatial_filter_from_estimator() for visualisation of filters and patterns for mne.decoding.LinearModel and additionally eigenvalues for GED-based transformers such as mne.decoding.XdawnTransformer, mne.decoding.CSP, by Gennadiy Belonosov. (#13332)

• Add more options for the sphere parameter of mne.viz.plot_sensors(), by Marijn van Vliet (#13400)

Other changes

• Changed “enhancement” to “new feature” in the contributing guide as enhancement is not a recognized change type, by Shristi Baral (#13373)