mne.make_bem_solution

mne.make_bem_solution(surfs, *, solver='mne', verbose=None)

Create a BEM solution using the linear collocation approach.

Parameters:

surfslist of dict

The BEM surfaces to use (from mne.make_bem_model()).

solverstr

Can be 'mne' (default) to use MNE-Python, or 'openmeeg' to use the OpenMEEG package.

New in v1.2.

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.

Returns:

beminstance of ConductorModel

The BEM solution.

See also

make_bem_model

read_bem_surfaces

write_bem_surfaces

read_bem_solution

write_bem_solution

Notes

New in v0.10.0.

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