| Parameters: |
- info : instance of mne.Info | str
If str, then it should be a filename to a Raw, Epochs, or Evoked
file with measurement information. If dict, should be an info
dict (such as one from Raw, Epochs, or Evoked).
- trans : dict | str | None
Either a transformation filename (usually made using mne_analyze)
or an info dict (usually opened using read_trans()).
If string, an ending of .fif or .fif.gz will be assumed to
be in FIF format, any other ending will be assumed to be a text
file with a 4x4 transformation matrix (like the –trans MNE-C
option). Can be None to use the identity transform.
- src : str | instance of SourceSpaces
If string, should be a source space filename. Can also be an
instance of loaded or generated SourceSpaces.
- bem : dict | str
Filename of the BEM (e.g., “sample-5120-5120-5120-bem-sol.fif”) to
use, or a loaded sphere model (dict).
- meg : bool
If True (Default), include MEG computations.
- eeg : bool
If True (Default), include EEG computations.
- mindist : float
Minimum distance of sources from inner skull surface (in mm).
- ignore_ref : bool
If True, do not include reference channels in compensation. This
option should be True for KIT files, since forward computation
with reference channels is not currently supported.
- n_jobs : int
Number of jobs to run in parallel.
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
|
|---|
