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 Info, 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.
- verbose
bool
|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 version 0.9.0.
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