mne.make_bem_solution#
- mne.make_bem_solution(surfs, *, solver='mne', verbose=None)[source]#
Create a BEM solution using the linear collocation approach.
- Parameters:
- surfs
list
ofdict
The BEM surfaces to use (from
mne.make_bem_model()
).- solver
str
Can be ‘mne’ (default) to use MNE-Python, or ‘openmeeg’ to use the OpenMEEG package.
New in version 1.2.
- 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.
- surfs
- Returns:
- beminstance of
ConductorModel
The BEM solution.
- beminstance of
Notes
New in version 0.10.0.
Examples using mne.make_bem_solution
#
Working with CTF data: the Brainstorm auditory dataset
Working with CTF data: the Brainstorm auditory dataset
Head model and forward computation
Head model and forward computation
Compute source power spectral density (PSD) of VectorView and OPM data
Compute source power spectral density (PSD) of VectorView and OPM data