mne.make_bem_model#
- mne.make_bem_model(subject, ico=4, conductivity=(0.3, 0.006, 0.3), subjects_dir=None, verbose=None)[source]#
Create a BEM model for a subject.
Note
To get a single layer bem corresponding to the –homog flag in the command line tool set the
conductivity
parameter to a list/tuple with a single value (e.g. [0.3]).- Parameters:
- subject
str
The subject.
- ico
int
|None
The surface ico downsampling to use, e.g.
5=20484
,4=5120
,3=1280
. If None, no subsampling is applied.- conductivity
array
ofint
, shape (3,) or (1,) The conductivities to use for each shell. Should be a single element for a one-layer model, or three elements for a three-layer model. Defaults to
[0.3, 0.006, 0.3]
. The MNE-C default for a single-layer model would be[0.3]
.- subjects_dirpath-like |
None
The path to the directory containing the FreeSurfer subjects reconstructions. If
None
, defaults to theSUBJECTS_DIR
environment variable.- 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.
- subject
- Returns:
- surfaces
list
ofdict
The BEM surfaces. Use
make_bem_solution
to turn these into aConductorModel
suitable for forward calculation.
- surfaces
Notes
New in version 0.10.0.
Examples using mne.make_bem_model
#
Working with CTF data: the Brainstorm auditory dataset
Head model and forward computation