mne.make_forward_solution¶

mne.make_forward_solution(info, trans, src, bem, meg=True, eeg=True, mindist=0.0, ignore_ref=False, n_jobs=1, verbose=None)[source]¶

Calculate a forward solution for a subject.

Parameters

infoinstance 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).
transstr | dict | instance of Transform | None: If str, the path to the head<->MRI transform *-trans.fif file produced during coregistration. Can also be 'fsaverage' to use the built-in fsaverage transformation. If trans is None, an identity matrix is assumed.

Changed in version 0.19: Support for ‘fsaverage’ argument.
srcstr | instance of SourceSpaces: If string, should be a source space filename. Can also be an instance of loaded or generated SourceSpaces.
bemdict | str: Filename of the BEM (e.g., “sample-5120-5120-5120-bem-sol.fif”) to use, or a loaded sphere model (dict).
megbool: If True (Default), include MEG computations.
eegbool: If True (Default), include EEG computations.
mindistfloat: Minimum distance of sources from inner skull surface (in mm).
ignore_refbool: 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_jobsint: The number of jobs to run in parallel (default 1). Requires the joblib package.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns