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    Metadata details:
    filename: ft_dipolefitting.m
    path of file: ./repos/bspm/thirdparty/spm12/external/fieldtrip
    
    the code of the file until where you have to start completion: function [source] = ft_dipolefitting(cfg, data)

% FT_DIPOLEFITTING perform grid search and non-linear fit with one or multiple
% dipoles and try to find the location where the dipole model is best able
% to explain the measured EEG or MEG topography.
%
% This function will initially scan the whole brain with a single dipole on
% a regular coarse grid, and subsequently start at the most optimal location
% with a non-linear search. Alternatively you can specify the initial
% location of the dipole(s) and the non-linear search will start from there.
%
% Use as
%   [source] = ft_dipolefitting(cfg, data)
%
% The configuration has the following general fields
%   cfg.numdipoles  = number, default is 1
%   cfg.symmetry    = 'x', 'y' or 'z' symmetry for two dipoles, can be empty (default = [])

    
function [source] = ft_dipolefitting(cfg, data)

% FT_DIPOLEFITTING perform grid search and non-linear fit with one or multiple
% dipoles and try to find the location where the dipole model is best able
% to explain the measured EEG or MEG topography.
%
% This function will initially scan the whole brain with a single dipole on
% a regular coarse grid, and subsequently start at the most optimal location
% with a non-linear search. Alternatively you can specify the initial
% location of the dipole(s) and the non-linear search will start from there.
%
% Use as
%   [source] = ft_dipolefitting(cfg, data)
%
% The configuration has the following general fields
%   cfg.numdipoles  = number, default is 1
%   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
%                     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 and optionally precomputed leadfields should be specified
%   cfg.grid            = structure, see FT_PREPARE_SOURCEMODEL or FT_PREPARE_LEADFIELD
% The positions of the dipoles can be specified as a regular 3-D
% grid that is aligned with the axes of the head coordinate system
%   cfg.grid.xgrid      = vector (e.g. -20:1:20) or 'auto' (default = 'auto')
%   cfg.grid.ygrid      = vector (e.g. -20:1:20) or 'auto' (default = 'auto')
%   cfg.grid.zgrid      = vector (e.g.   0:1:20) or 'auto' (default = 'auto')
%   cfg.grid.resolution = number (e.g. 1 cm) for automatic grid generation
%   cfg.grid.inside     = N*1 vector with boolean value whether grid point is inside brain (optional)
%   cfg.grid.dim        = [Nx Ny Nz] vector with dimensions in case of 3-D grid (optional)
% If the source model destribes a triangulated cortical sheet, it is described as
%   cfg.grid.pos        = N*3 matrix with the vertex positions of the cortical sheet
%   cfg.grid.tri        = M*3 matrix that describes the triangles connecting the vertices
% Alternatively the position of a few dipoles at locations of interest can be
% specified, for example obtained from an anatomical or functional MRI
%   cfg.grid.pos        = N*3 matrix with position of each source
%
% If you do not start with a grid search, you have to give a starting location
% for the nonlinear search
%   cfg.dip.pos     = initial dipole position, matrix of Ndipoles x 3
%
% The conventional approach is to fit dipoles to event-related averages, which
% within FieldTrip can be obtained from the FT_TIMELOCKANALYSIS or from
% the FT_TIMELOCKGRANDAVERAGE function. This has the additional options
%   cfg.latency     = [begin end