Forward Modeling

Forward	Forward class to represent info from forward solution.
SourceSpaces(source_spaces[, info])	Represent a list of source space.

add_source_space_distances(src[, ...])	Compute inter-source distances along the cortical surface.
apply_forward(fwd, stc, info[, start, stop, ...])	Project source space currents to sensor space using a forward operator.
apply_forward_raw(fwd, stc, info[, start, ...])	Project source space currents to sensor space using a forward operator.
average_forward_solutions(fwds[, weights, ...])	Average forward solutions.
convert_forward_solution(fwd[, surf_ori, ...])	Convert forward solution between different source orientations.
decimate_surface(points, triangles, n_triangles)	Decimate surface data.
dig_mri_distances(info, trans, subject[, ...])	Compute distances between head shape points and the scalp surface.
forward.compute_depth_prior(forward, info[, ...])	Compute depth prior for depth weighting.
forward.compute_orient_prior(forward[, ...])	Compute orientation prior.
forward.restrict_forward_to_label(fwd, labels)	Restrict forward operator to labels.
forward.restrict_forward_to_stc(fwd, stc[, ...])	Restrict forward operator to active sources in a source estimate.
make_bem_model(subject[, ico, conductivity, ...])	Create a BEM model for a subject.
make_bem_solution(surfs, *[, solver, verbose])	Create a BEM solution using the linear collocation approach.
make_forward_dipole(dipole, bem, info[, ...])	Convert dipole object to source estimate and calculate forward operator.
make_forward_solution(info, trans, src, bem)	Calculate a forward solution for a subject.
make_field_map(evoked[, trans, subject, ...])	Compute surface maps used for field display in 3D.
make_sphere_model([r0, head_radius, info, ...])	Create a spherical model for forward solution calculation.
morph_source_spaces(src_from, subject_to[, ...])	Morph an existing source space to a different subject.
read_bem_surfaces(fname[, patch_stats, ...])	Read the BEM surfaces from a FIF file.
read_forward_solution(fname[, include, ...])	Read a forward solution a.k.a.
read_trans(fname[, return_all, verbose])	Read a -trans.fif file.
read_source_spaces(fname[, patch_stats, verbose])	Read the source spaces from a FIF file.
read_surface(fname[, read_metadata, ...])	Load a Freesurfer surface mesh in triangular format.
sensitivity_map(fwd[, projs, ch_type, mode, ...])	Compute sensitivity map.
setup_source_space(subject[, spacing, ...])	Set up bilateral hemisphere surface-based source space with subsampling.
setup_volume_source_space([subject, pos, ...])	Set up a volume source space with grid spacing or discrete source space.
surface.complete_surface_info(surf[, ...])	Complete surface information.
surface.read_curvature(filepath[, binary])	Load in curvature values from the ?h.curv file.
use_coil_def(fname)	Use a custom coil definition file.
write_bem_surfaces(fname, surfs[, ...])	Write BEM surfaces to a FIF file.
write_trans(fname, trans, *[, overwrite, ...])	Write a transformation FIF file.

mne.bem:

ConductorModel	BEM or sphere model.
fit_sphere_to_headshape(info[, dig_kinds, ...])	Fit a sphere to the headshape points to determine head center.
get_fitting_dig(info[, dig_kinds, ...])	Get digitization points suitable for sphere fitting.
make_watershed_bem(subject[, subjects_dir, ...])	Create BEM surfaces using the FreeSurfer watershed algorithm.
make_flash_bem(subject[, overwrite, show, ...])	Create 3-Layer BEM model from prepared flash MRI images.
make_scalp_surfaces(subject[, subjects_dir, ...])	Create surfaces of the scalp and neck.
convert_flash_mris(subject[, flash30, ...])	Synthesize the flash 5 files for use with make_flash_bem.
distance_to_bem(pos, bem[, trans, verbose])	Calculate the distance of positions to inner skull surface.