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Dipdoc (#2407)
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schoffelen committed Apr 17, 2024
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% cfg.symmetry = 'x', 'y' or 'z' symmetry for two dipoles, can be empty (default = [])
% cfg.channel = Nx1 cell-array with selection of channels (default = 'all'),
% see FT_CHANNELSELECTION for details
% cfg.gridsearch = 'yes' or 'no', perform global search for initial
% cfg.gridsearch = 'yes' or 'no', perform global grid search for initial
% guess for the dipole parameters (default = 'yes')
% cfg.nonlinear = 'yes' or 'no', perform nonlinear search for optimal
% dipole parameters (default = 'yes')
%
% If you start with a grid search, the complete grid with dipole positions is
% constructed using FT_PREPARE_SOURCEMODEL. It can be specified as as a regular 3-D
% grid that is aligned with the axes of the head coordinate system using
% If a grid search is performed, a source model needs to be specified. This should either be
% specified as cfg.sourcemodel (see below), or as a set of parameters to define a 3-D regular grid.
% In the latter case, a complete grid is constructed using FT_PREPARE_SOURCEMODEL. The specification
% of a regular 3-D grid, aligned with the axes of the head coordinate system, can be obtained with
% cfg.xgrid = vector (e.g. -20:1:20) or 'auto' (default = 'auto')
% cfg.ygrid = vector (e.g. -20:1:20) or 'auto' (default = 'auto')
% cfg.zgrid = vector (e.g. 0:1:20) or 'auto' (default = 'auto')
% cfg.resolution = number (e.g. 1 cm) for automatic grid generation
% cfg.resolution = number (e.g. 1 cm)
% If the source model destribes a triangulated cortical sheet, it is described as
% cfg.sourcemodel.pos = N*3 matrix with the vertex positions of the cortical sheet
% cfg.sourcemodel.tri = M*3 matrix that describes the triangles connecting the vertices
% Alternatively the position of a few dipoles at locations of interest can be
% Alternatively the position of the dipoles at locations of interest can be
% user-specified, for example obtained from an anatomical or functional MRI
% cfg.sourcemodel.pos = N*3 matrix with position of each source
% cfg.sourcemodel.inside = N*1 vector with boolean value whether grid point is inside brain (optional)
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