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# eeg_bem

## (Toolbox/eeg_bem.m in BrainStorm 2.0 (Alpha))

### Function Synopsis

    G = eeg_bem(L,Channel,Param,Order,Verbose, varargin);

### Help Text

    EEG_BEM - Calculate the electric potential , BEM approach, arbitrary orientation
     function G = eeg_bem(L,Channel,Param,Order,Verbose, varargin);
     function G = eeg_bem(L,Channel,Param,Order);
     L is 3 x nL, each column a source location
     Channel is the channel structure, same for Param
     Order is
      -1 current dipole
       0 focal(magnetic) dipole %NOT SUPPORTED
       1 1st order multipole %NOT SUPPORTED

     Verbose: toggle Verbose mode (1 is default)

### Cross-Reference Information

This function calls

    gain_interp                        C:\BrainStorm_2001\Toolbox\gain_interp.m

This function is called by

    bst_headmodeler                    C:\BrainStorm_2001\Toolbox\bst_headmodeler.m
    data_manager                       C:\BrainStorm_2001\Toolbox\data_manager.m
    headmodeler_gui                    C:\BrainStorm_2001\Toolbox\headmodeler_gui.m

### Listing of function C:\BrainStorm_2001\Toolbox\eeg_bem.m

    function G = eeg_bem(L,Channel,Param,Order,Verbose, varargin);
    %EEG_BEM - Calculate the electric potential , BEM approach, arbitrary orientation
    % function G = eeg_bem(L,Channel,Param,Order,Verbose, varargin);
    % function G = eeg_bem(L,Channel,Param,Order);
    % L is 3 x nL, each column a source location
    % Channel is the channel structure, same for Param
    % Order is
    %  -1 current dipole
    %   0 focal(magnetic) dipole %NOT SUPPORTED
    %   1 1st order multipole %NOT SUPPORTED
    %
    % Verbose: toggle Verbose mode (1 is default)

    %<autobegin> ---------------------- 14-Jun-2004 17:10:25 -----------------------
    % --------- Automatically Generated Comments Block Using AUTO_COMMENTS ---------
    %
    % CATEGORY: Forward Modeling
    %
    % Alphabetical list of external functions (non-Matlab):
    %   toolbox\gain_interp.m
    %
    % At Check-in: $Author: Mosher $  $Revision: 17 $  $Date: 6/14/04 3:37p $
    %
    % This software is part of BrainStorm Toolbox Version 2.0 (Alpha) 14-Jun-2004
    %
    % Principal Investigators and Developers:
    % ** Richard M. Leahy, PhD, Signal & Image Processing Institute,
    %    University of Southern California, Los Angeles, CA
    % ** John C. Mosher, PhD, Biophysics Group,
    %    Los Alamos National Laboratory, Los Alamos, NM
    % ** Sylvain Baillet, PhD, Cognitive Neuroscience & Brain Imaging Laboratory,
    %    CNRS, Hopital de la Salpetriere, Paris, France
    %
    % See BrainStorm website at http://neuroimage.usc.edu for further information.
    %
    % Copyright (c) 2004 BrainStorm by the University of Southern California
    % This software distributed  under the terms of the GNU General Public License
    % as published by the Free Software Foundation. Further details on the GPL
    % license can be found at http://www.gnu.org/copyleft/gpl.html .
    %
    % FOR RESEARCH PURPOSES ONLY. THE SOFTWARE IS PROVIDED "AS IS," AND THE
    % UNIVERSITY OF SOUTHERN CALIFORNIA AND ITS COLLABORATORS DO NOT MAKE ANY
    % WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF
    % MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO THEY ASSUME ANY
    % LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS SOFTWARE.
    %<autoend> ------------------------ 14-Jun-2004 17:10:25 -----------------------

    % ----------------------------- Script History ---------------------------------
    % Authors: Sylvain Baillet, Ph.D. - John E. Ermer M Sc.
    % 19-May-2004 JCM Comments cleaning
    % ----------------------------- Script History ---------------------------------

    if nargin < 5
        Verbose = 1; % Default
    end

    if Order >-1
       errordlg('Higher-order source models not supported in BEM, Sorry.')
       return
    end

    Rq = L';
    %[G,R_eeg_sensor,R_meg_sensor,O_meg_sensor] = gain_bem_interp2(Rq,Param(1).bem_gaingrid_mfname,persist_inhibit);
    [G] = gain_interp(Rq,Param(1).bem_gaingrid_mfname);

    % Now reduce back to requested number of channels
    if nargin == 7 % User reduces computation to a selected number of channels
        G = G(varargin{end},:);
    end

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