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    Metadata details:
    filename: ft_connectivity_mim.m
    path of file: ./repos/fieldtrip/connectivity
    
    the code of the file until where you have to start completion: function [M] = ft_connectivity_mim(inputdata, varargin)

% FT_CONNECTIVITY_MIM computes the multivariate interaction measure from a
% data-matrix containing the cross-spectral density. This implements the method
% described in Ewald et al., Estimating true brain connectivity from EEG/MEG data
% invariant to linear and static trasformations in sensor space. Neuroimage, 2012;
% 476:488.
%
% Use as
%   [m] = hcp_connectivity_mim(inputdata, ...)
%
% The input data should be an array organized as
%   Channel x Channel x Frequency
%
% The output m contains the newChannel x newChannel x Frequency connectivity measure,
% with newChannel equal to max(indices).
%
% Additional optional input arguments come as key-value pairs:
%   'indices' = 1xN vector with indices of the groups to which the channels belong,
%               e.g. [1 1 2 2] for a 2-by-2 connectivity between 2 planar MEG channels.
%
%
% See also CONNECTIVITY, FT_CONNECTIVITYANALYSIS

% Copyright (C) 2011-2014 by the Human Connectome Project, WU-Minn Consortium (1U54MH091657)
% Copyright (C) 2021 Jan-Mathijs Schoffelen, DCCN
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
%    FieldTrip is free software: you can redistribute it and/or modify
%    it under the terms of the GNU General Public License as published by
%    the Free Software Foundation, either version 3 of the License, or
%    (at your option) any later version.
%
%    FieldTrip is distributed in the hope that it will be useful,
%    but WITHOUT ANY WARRANTY; without even the implied warranty of
%    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%    GNU General Public License for more details.
%
%    You should have received a copy of the GNU General Public License
%    along with FieldTrip. If not, see <http://www.gnu.org/licenses/>.
%
% $Id$

    
function [M] = ft_connectivity_mim(inputdata, varargin)

% FT_CONNECTIVITY_MIM computes the multivariate interaction measure from a
% data-matrix containing the cross-spectral density. This implements the method
% described in Ewald et al., Estimating true brain connectivity from EEG/MEG data
% invariant to linear and static trasformations in sensor space. Neuroimage, 2012;
% 476:488.
%
% Use as
%   [m] = hcp_connectivity_mim(inputdata, ...)
%
% The input data should be an array organized as
%   Channel x Channel x Frequency
%
% The output m contains the newChannel x newChannel x Frequency connectivity measure,
% with newChannel equal to max(indices).
%
% Additional optional input arguments come as key-value pairs:
%   'indices' = 1xN vector with indices of the groups to which the channels belong,
%               e.g. [1 1 2 2] for a 2-by-2 connectivity between 2 planar MEG channels.
%
%
% See also CONNECTIVITY, FT_CONNECTIVITYANALYSIS

% Copyright (C) 2011-2014 by the Human Connectome Project, WU-Minn Consortium (1U54MH091657)
% Copyright (C) 2021 Jan-Mathijs Schoffelen, DCCN
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
%    FieldTrip is free software: you can redistribute it and/or modify
%    it under the terms of the GNU General Public License as published by
%    the Free Software Foundation, either version 3 of the License, or
%    (at your option) any later version.
%
%    FieldTrip is distributed in the hope that it will be useful,
%    but WITHOUT ANY WARRANTY; without even the implied warranty of
%    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%    GNU General Public License for more details.
%
%    You should have received a copy of the GNU General Public License
%    along with FieldTrip. If not, see <http://www.gnu.org/licenses/>.
%
% $Id$

indices = ft_getopt(varargin, 'indices');

if isempty(indices) && isequal(size(inputdata(:,:,1)), [2 2])
  % simply assume two channels
  indices = [1 1 2 2];
end