mne.make_sphere_model#
- mne.make_sphere_model(r0=(0.0, 0.0, 0.04), head_radius=0.09, info=None, relative_radii=(0.9, 0.92, 0.97, 1.0), sigmas=(0.33, 1.0, 0.004, 0.33), verbose=None)[source]#
Create a spherical model for forward solution calculation.
- Parameters:
- r0array_like |
str
Head center to use (in head coordinates). If ‘auto’, the head center will be calculated from the digitization points in info.
- head_radius
float
|str
|None
If float, compute spherical shells for EEG using the given radius. If
'auto'
, estimate an appropriate radius from the dig points in theInfo
provided by the argumentinfo
. If None, exclude shells (single layer sphere model).- info
mne.Info
|None
The
mne.Info
object with information about the sensors and methods of measurement. Only needed ifr0
orhead_radius
are'auto'
.- relative_radiiarray_like
Relative radii for the spherical shells.
- sigmasarray_like
Sigma values for the spherical shells.
- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- r0array_like |
- Returns:
- sphereinstance of
ConductorModel
The resulting spherical conductor model.
- sphereinstance of
See also
Notes
The default model has:
relative_radii = (0.90, 0.92, 0.97, 1.0) sigmas = (0.33, 1.0, 0.004, 0.33)
These correspond to compartments (with relative radii in
m
and conductivities σ inS/m
) for the brain, CSF, skull, and scalp, respectively.New in v0.9.0.
Examples using mne.make_sphere_model
#
Source alignment and coordinate frames
Brainstorm Elekta phantom dataset tutorial
Brainstorm CTF phantom dataset tutorial
4D Neuroimaging/BTi phantom dataset tutorial
Plot sensor denoising using oversampled temporal projection
Plotting sensor layouts of EEG systems