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_radiusfloat|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). 
- infomne.Info|None
- The - mne.Infoobject with information about the sensors and methods of measurement. Only needed if- r0or- head_radiusare- '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 and- mne.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 - mand conductivities σ in- S/m) for the brain, CSF, skull, and scalp, respectively.- New in version 0.9.0. 
Examples using mne.make_sphere_model#
 
Plot sensor denoising using oversampled temporal projection
 
 
 
 
 
