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eeglab.mat
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% eeglab() - Matlab graphic user interface environment for
% electrophysiological data analysis incorporating the ICA/EEG toolbox
% (Makeig et al.) developed at CNL / The Salk Institute, 1997-2001.
% Released 11/2002- as EEGLAB (Delorme, Makeig, et al.) at the Swartz Center
% for Computational Neuroscience, Institute for Neural Computation,
% University of California San Diego (http://sccn.ucsd.edu/).
% User feedback welcome: email [email protected]
%
% Authors: Arnaud Delorme and Scott Makeig, with substantial contributions
% from Colin Humphries, Sigurd Enghoff, Tzyy-Ping Jung, plus
% contributions
% from Tony Bell, Te-Won Lee, Luca Finelli and many other contributors.
%
% Description:
% EEGLAB is Matlab-based software for processing continuous or event-related
% EEG or other physiological data. It is designed for use by both novice and
% expert Matlab users. In normal use, the EEGLAB graphic interface calls
% graphic functions via pop-up function windows. The EEGLAB history mechanism
% can save the resulting Matlab calls to disk for later incorporation into
% Matlab scripts. A single data structure ('EEG') containing all dataset
% parameters may be accessed and modified directly from the Matlab commandline.
% EEGLAB now recognizes "plugins," sets of EEGLAB functions linked to the EEGLAB
% main menu through an "eegplugin_[name].m" function (Ex. >> help eeplugin_besa.m).
%
% Usage: 1) To (re)start EEGLAB, type
% >> eeglab % Ignores any loaded datasets
% 2) To redaw and update the EEGLAB interface, type
% >> eeglab redraw % Scans for non-empty datasets
% >> eeglab rebuild % Closes and rebuilds the EEGLAB window
% >> eeglab versions % State EEGLAB version number
%
% >> type "license.txt" % the GNU public license
% >> web http://sccn.ucsd.edu/eeglab/tutorial/ % the EEGLAB tutorial
% >> help eeg_checkset % the EEG dataset structure
%
% GUI Functions calling eponymous processing and plotting functions:
% ------------------------------------------------------------------
% <a href="matlab:helpwin pop_eegfilt">pop_eegfilt</a> - bandpass filter data (eegfilt())
% <a href="matlab:helpwin pop_eegplot">pop_eegplot</a> - scrolling multichannel data viewer (eegplot())
% <a href="matlab:helpwin pop_eegthresh">pop_eegthresh</a> - simple thresholding method (eegthresh())
% <a href="matlab:helpwin pop_envtopo">pop_envtopo</a> - plot ERP data and component contributions (envtopo())
% <a href="matlab:helpwin pop_epoch">pop_epoch</a> - extract epochs from a continuous dataset (epoch())
% <a href="matlab:helpwin pop_erpimage">pop_erpimage</a> - plot single epochs as an image (erpimage())
% <a href="matlab:helpwin pop_jointprob">pop_jointprob</a> - reject epochs using joint probability (jointprob())
% <a href="matlab:helpwin pop_loaddat">pop_loaddat</a> - load Neuroscan .DAT info file (loaddat())
% <a href="matlab:helpwin pop_loadcnt">pop_loadcnt</a> - load Neuroscan .CNT data (lndcnt())
% <a href="matlab:helpwin pop_loadeeg">pop_loadeeg</a> - load Neuroscan .EEG data (loadeeg())
% <a href="matlab:helpwin pop_loadbva">pop_loadbva</a> - load Brain Vision Analyser matlab files
% <a href="matlab:helpwin pop_plotdata">pop_plotdata</a> - plot data epochs in rectangular array (plotdata())
% <a href="matlab:helpwin pop_readegi">pop_readegi</a> - load binary EGI data file (readegi())
% <a href="matlab:helpwin pop_rejkurt">pop_rejkurt</a> - compute data kurtosis (rejkurt())
% <a href="matlab:helpwin pop_rejtrend">pop_rejtrend</a> - reject EEG epochs showing linear trends (rejtrend())
% <a href="matlab:helpwin pop_resample">pop_resample</a> - change data sampling rate (resample())
% <a href="matlab:helpwin pop_rmbase">pop_rmbase</a> - remove epoch baseline (rmbase())
% <a href="matlab:helpwin pop_runica">pop_runica</a> - run infomax ICA decomposition (runica())
% <a href="matlab:helpwin pop_newtimef">pop_newtimef</a> - event-related time-frequency (newtimef())
% <a href="matlab:helpwin pop_timtopo">pop_timtopo</a> - plot ERP and scalp maps (timtopo())
% <a href="matlab:helpwin pop_topoplot">pop_topoplot</a> - plot scalp maps (topoplot())
% <a href="matlab:helpwin pop_snapread">pop_snapread</a> - read Snapmaster .SMA files (snapread())
% <a href="matlab:helpwin pop_newcrossf">pop_newcrossf</a> - event-related cross-coherence (newcrossf())
% <a href="matlab:helpwin pop_spectopo">pop_spectopo</a> - plot all channel spectra and scalp maps (spectopo())
% <a href="matlab:helpwin pop_plottopo">pop_plottopo</a> - plot a data epoch in a topographic array (plottopo())
% <a href="matlab:helpwin pop_readedf">pop_readedf</a> - read .EDF EEG data format (readedf())
% <a href="matlab:helpwin pop_headplot">pop_headplot</a> - plot a 3-D data scalp map (headplot())
% <a href="matlab:helpwin pop_reref">pop_reref</a> - re-reference data (reref())
% <a href="matlab:helpwin pop_signalstat">pop_signalstat</a> - plot signal or component statistic (signalstat())
%
% Other GUI functions:
% -------------------
% <a href="matlab:helpwin pop_chanevent">pop_chanevent</a> - import events stored in data channel(s)
% <a href="matlab:helpwin pop_comments">pop_comments</a> - edit dataset comment ('about') text
% <a href="matlab:helpwin pop_compareerps">pop_compareerps</a> - compare two dataset ERPs using plottopo()
% <a href="matlab:helpwin pop_prop">pop_prop</a> - plot channel or component properties (erpimage, spectra, map)
% <a href="matlab:helpwin pop_copyset">pop_copyset</a> - copy dataset
% <a href="matlab:helpwin pop_dispcomp">pop_dispcomp</a> - display component scalp maps with reject buttons
% <a href="matlab:helpwin pop_editeventfield">pop_editeventfield</a> - edit event fields
% <a href="matlab:helpwin pop_editeventvals">pop_editeventvals</a> - edit event values
% <a href="matlab:helpwin pop_editset">pop_editset</a> - edit dataset information
% <a href="matlab:helpwin pop_export">pop_export</a> - export data or ica activity to ASCII file
% <a href="matlab:helpwin pop_expica">pop_expica</a> - export ica weights or inverse matrix to ASCII file
% <a href="matlab:helpwin pop_icathresh">pop_icathresh</a> - choose rejection thresholds (in development)
% <a href="matlab:helpwin pop_importepoch">pop_importepoch</a> - import epoch info ASCII file
% <a href="matlab:helpwin pop_importevent">pop_importevent</a> - import event info ASCII file
% <a href="matlab:helpwin pop_importpres">pop_importpres</a> - import Presentation info file
% <a href="matlab:helpwin pop_importev2">pop_importev2</a> - import Neuroscan ev2 file
% <a href="matlab:helpwin pop_loadset">pop_loadset</a> - load dataset
% <a href="matlab:helpwin pop_mergeset">pop_mergeset</a> - merge two datasets
% <a href="matlab:helpwin pop_rejepoch">pop_rejepoch</a> - reject pre-identified epochs in a EEG dataset
% <a href="matlab:helpwin pop_rejspec">pop_rejspec</a> - reject based on spectrum (computes spectrum -% eegthresh)
% <a href="matlab:helpwin pop_saveh">pop_saveh</a> - save EEGLAB command history
% <a href="matlab:helpwin pop_saveset">pop_saveset</a> - save dataset
% <a href="matlab:helpwin pop_select">pop_select</a> - select data (epochs, time points, channels ...)
% <a href="matlab:helpwin pop_selectevent">pop_selectevent</a> - select events
% <a href="matlab:helpwin pop_subcomp">pop_subcomp</a> - subtract components from data
%
% Non-GUI functions use for handling the EEG structure:
% ----------------------------------------------------
% <a href="matlab:helpwin eeg_checkset">eeg_checkset</a> - check dataset parameter consistency
% <a href="matlab:helpwin eeg_context">eeg_context</a> - return info about events surrounding given events
% <a href="matlab:helpwin pop_delset">pop_delset</a> - delete dataset
% <a href="matlab:helpwin pop_editoptions">pop_editoptions</a> - edit the option file
% <a href="matlab:helpwin eeg_emptyset">eeg_emptyset</a> - empty dataset
% <a href="matlab:helpwin eeg_epochformat">eeg_epochformat</a> - convert epoch array to structure
% <a href="matlab:helpwin eeg_eventformat">eeg_eventformat</a> - convert event array to structure
% <a href="matlab:helpwin eeg_getepochevent">eeg_getepochevent</a> - return event values for a subset of event types
% <a href="matlab:helpwin eeg_global">eeg_global</a> - global variables
% <a href="matlab:helpwin eeg_multieegplot">eeg_multieegplot</a> - plot several rejections (using different colors)
% <a href="matlab:helpwin eeg_options">eeg_options</a> - option file
% <a href="matlab:helpwin eeg_rejsuperpose">eeg_rejsuperpose</a> - use by rejmenu to superpose all rejections
% <a href="matlab:helpwin eeg_rejmacro">eeg_rejmacro</a> - used by all rejection functions
% <a href="matlab:helpwin pop_rejmenu">pop_rejmenu</a> - rejection menu (with all rejection methods visible)
% <a href="matlab:helpwin eeg_retrieve">eeg_retrieve</a> - retrieve dataset from ALLEEG
% <a href="matlab:helpwin eeg_store">eeg_store</a> - store dataset into ALLEEG
%
% Help functions:
% --------------
% <a href="matlab:helpwin eeg_helpadmin">eeg_helpadmin</a> - help on admin function
% <a href="matlab:helpwin eeg_helphelp">eeg_helphelp</a> - help on help
% <a href="matlab:helpwin eeg_helpmenu">eeg_helpmenu</a> - EEG help menus
% <a href="matlab:helpwin eeg_helppop">eeg_helppop</a> - help on pop_ and eeg_ functions
% <a href="matlab:helpwin eeg_helpsigproc">eeg_helpsigproc</a> - help on
% Copyright (C) 2001 Arnaud Delorme and Scott Makeig, Salk Institute,
%
% This program 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 2 of the License, or
% (at your option) any later version.
%
% This program 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 this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
function varargout = eeglab( onearg )
if nargout > 0
varargout = { [] [] 0 {} };
%[ALLEEG, EEG, CURRENTSET, ALLCOM]
end;
% add the paths
% -------------
eeglabpath = which('eeglab.m');
eeglabpath = eeglabpath(1:end-length('eeglab.m'));
if strcmpi(eeglabpath, './') || strcmpi(eeglabpath, '.\'), eeglabpath = [ pwd filesep ]; end;
% solve BIOSIG problem
% --------------------
pathtmp = which('wilcoxon_test');
if ~isempty(pathtmp)
try,
rmpath(pathtmp(1:end-15));
catch, end;
end;
% test for local SCCN copy
% ------------------------
if ~iseeglabdeployed2
addpath(eeglabpath);
if exist( fullfile( eeglabpath, 'functions', 'adminfunc') ) ~= 7
warning('EEGLAB subfolders not found');
end;
end;
% determine file format
% ---------------------
fileformat = 'maclinux';
comp = computer;
try
if strcmpi(comp(1:3), 'GLN') | strcmpi(comp(1:3), 'MAC') | strcmpi(comp(1:3), 'SOL')
fileformat = 'maclinux';
elseif strcmpi(comp(1:5), 'pcwin')
fileformat = 'pcwin';
end;
end;
% add paths
% ---------
if ~iseeglabdeployed2
myaddpath( eeglabpath, 'eeg_checkset.m', [ 'functions' filesep 'adminfunc' ]);
myaddpath( eeglabpath, 'memmapdata.m', 'functions');
myaddpath( eeglabpath, 'readeetraklocs.m', [ 'functions' filesep 'sigprocfunc' ]);
myaddpath( eeglabpath, 'supergui.m', [ 'functions' filesep 'guifunc' ]);
myaddpath( eeglabpath, 'pop_study.m', [ 'functions' filesep 'studyfunc' ]);
myaddpath( eeglabpath, 'pop_loadbci.m', [ 'functions' filesep 'popfunc' ]);
myaddpath( eeglabpath, 'statcond.m', [ 'functions' filesep 'statistics' ]);
myaddpath( eeglabpath, 'timefreq.m', [ 'functions' filesep 'timefreqfunc' ]);
myaddpath( eeglabpath, 'icademo.m', [ 'functions' filesep 'miscfunc' ]);
myaddpath( eeglabpath, 'eeglab1020.ced', [ 'functions' filesep 'resources' ]);
myaddpath( eeglabpath, 'startpane.m', [ 'functions' filesep 'javachatfunc' ]);
eeglab_options;
% add path if toolboxes are missing
% ---------------------------------
tmppath = path;
signalpath = fullfile(eeglabpath, 'functions', 'octavefunc', 'signal');
optimpath = fullfile(eeglabpath, 'functions', 'octavefunc', 'optim');
if ~license('test','signal_toolbox') || option_donotusetoolboxes
warning('off', 'MATLAB:dispatcher:nameConflict');
addpath( signalpath );
else
if ~isempty(findstr( signalpath, tmppath)) rmpath( signalpath ); end;
end;
if ~license('test','optim_toolbox') && ~ismatlab
addpath( optimpath );
else
if ~isempty(findstr( optimpath, tmppath)) rmpath( optimpath ); end;
end;
myaddpath( eeglabpath, 'eegplugin_dipfit', 'plugins');
else
eeglab_options;
end;
if nargin == 1 && strcmp(onearg, 'redraw')
if evalin('base', 'exist(''EEG'')', '0') == 1
evalin('base', 'eeg_global;');
end;
end;
eeg_global;
% for the history function
% ------------------------
comtmp = 'warning off MATLAB:mir_warning_variable_used_as_function';
evalin('base' , comtmp, '');
evalin('caller', comtmp, '');
evalin('base', 'eeg_global;');
if nargin < 1 | exist('EEG') ~= 1
clear global EEG ALLEEG CURRENTSET ALLCOM LASTCOM STUDY;
CURRENTSTUDY = 0;
eeg_global;
EEG = eeg_emptyset;
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;');
if ismatlab && get(0, 'screendepth') <= 8
disp('Warning: screen color depth too low, some colors will be inaccurate in time-frequency plots');
end;
end;
if nargin == 1
if strcmp(onearg, 'versions')
disp( [ 'EEGLAB v' eeg_getversion ] );
elseif strcmp(onearg, 'nogui')
if nargout < 1, clear ALLEEG; end; % do not return output var
return;
elseif strcmp(onearg, 'redraw')
if ~ismatlab,return; end;
W_MAIN = findobj('tag', 'EEGLAB');
if ~isempty(W_MAIN)
updatemenu;
if nargout < 1, clear ALLEEG; end; % do not return output var
return;
else
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab(''rebuild'');');
end;
elseif strcmp(onearg, 'besa');
disp('Besa option deprecated. Download the BESA plugin to add the BESA menu.');
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;');
else
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab(''rebuild'');');
end;
else
onearg = 'rebuild';
end;
ALLCOM = ALLCOM;
try, eval('colordef white;'); catch end;
% default option folder
% ---------------------
if ~iseeglabdeployed2
eeglab_options;
fprintf('eeglab: options file is %s%seeg_options.m\n', homefolder, filesep);
end;
% checking strings
% ----------------
e_try = 'try,';
e_catch = 'catch, eeglab_error; LASTCOM= ''''; clear EEGTMP ALLEEGTMP STUDYTMP; end;';
nocheck = e_try;
ret = 'if ~isempty(LASTCOM), if LASTCOM(1) == -1, LASTCOM = ''''; return; end; end;';
check = ['[EEG LASTCOM] = eeg_checkset(EEG, ''data'');' ret ' eegh(LASTCOM);' e_try];
checkcont = ['[EEG LASTCOM] = eeg_checkset(EEG, ''contdata'');' ret ' eegh(LASTCOM);' e_try];
checkica = ['[EEG LASTCOM] = eeg_checkset(EEG, ''ica'');' ret ' eegh(LASTCOM);' e_try];
checkepoch = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'');' ret ' eegh(LASTCOM);' e_try];
checkevent = ['[EEG LASTCOM] = eeg_checkset(EEG, ''event'');' ret ' eegh(LASTCOM);' e_try];
checkbesa = ['[EEG LASTCOM] = eeg_checkset(EEG, ''besa'');' ret ' eegh(''% no history yet for BESA dipole localization'');' e_try];
checkepochica = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''ica'');' ret ' eegh(LASTCOM);' e_try];
checkplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkicaplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''ica'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkepochplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkepochicaplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''ica'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
% check string and backup old dataset
% -----------------------------------
backup = [ 'if CURRENTSET ~= 0,' ...
' [ ALLEEG EEG ] = eeg_store(ALLEEG, EEG, CURRENTSET, ''savegui'');' ...
' eegh(''[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET, ''''savedata'''');'');' ...
'end;' ];
storecall = '[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET); eegh(''[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET);'');';
storenewcall = '[ALLEEG EEG CURRENTSET LASTCOM] = pop_newset(ALLEEG, EEG, CURRENTSET, ''study'', ~isempty(STUDY)+0); eegh(LASTCOM);';
storeallcall = [ 'if ~isempty(ALLEEG) & ~isempty(ALLEEG(1).data), ALLEEG = eeg_checkset(ALLEEG);' ...
'EEG = eeg_retrieve(ALLEEG, CURRENTSET); eegh(''ALLEEG = eeg_checkset(ALLEEG); EEG = eeg_retrieve(ALLEEG, CURRENTSET);''); end;' ];
testeegtmp = 'if exist(''EEGTMP'') == 1, EEG = EEGTMP; clear EEGTMP; end;'; % for backward compatibility
ifeeg = 'if ~isempty(LASTCOM) & ~isempty(EEG),';
ifeegnh = 'if ~isempty(LASTCOM) & ~isempty(EEG) & ~isempty(findstr(''='',LASTCOM)),';
% nh = no dataset history
% -----------------------
e_storeall_nh = [e_catch 'eegh(LASTCOM);' ifeeg storeallcall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_hist_nh = [e_catch 'eegh(LASTCOM);'];
% same as above but also save history in dataset
% ----------------------------------------------
e_newset = [e_catch 'EEG = eegh(LASTCOM, EEG);' testeegtmp ifeeg storenewcall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_store = [e_catch 'EEG = eegh(LASTCOM, EEG);' ifeegnh storecall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_hist = [e_catch 'EEG = eegh(LASTCOM, EEG);'];
e_histdone = [e_catch 'EEG = eegh(LASTCOM, EEG); if ~isempty(LASTCOM), disp(''Done.''); end;' ];
% study checking
% --------------
e_load_study = [e_catch 'eegh(LASTCOM); if ~isempty(LASTCOM), ALLEEG = ALLEEGTMP; EEG = ALLEEG; CURRENTSET = [1:length(EEG)]; eegh(''CURRENTSTUDY = 1; EEG = ALLEEG; CURRENTSET = [1:length(EEG)];''); STUDY = STUDYTMP; CURRENTSTUDY = 1; disp(''Done.''); end; clear ALLEEGTMP STUDYTMP; eeglab(''redraw'');'];
% build structures for plugins
% ----------------------------
trystrs.no_check = e_try;
trystrs.check_data = check;
trystrs.check_ica = checkica;
trystrs.check_cont = checkcont;
trystrs.check_epoch = checkepoch;
trystrs.check_event = checkevent;
trystrs.check_epoch_ica = checkepochica;
trystrs.check_chanlocs = checkplot;
trystrs.check_epoch_chanlocs = checkepochplot;
trystrs.check_epoch_ica_chanlocs = checkepochicaplot;
catchstrs.add_to_hist = e_hist;
catchstrs.store_and_hist = e_store;
catchstrs.new_and_hist = e_newset;
catchstrs.new_non_empty = e_newset;
catchstrs.update_study = e_load_study;
% create eeglab figure
% --------------------
javaobj = eeg_mainfig(onearg);
ptopoplot = fileparts(which('cbar'));
% detecting icalab
% ----------------
if exist('icalab')
disp('ICALAB toolbox detected (algo. added to "run ICA" interface)');
end;
biosigflag = 0;
if iseeglabdeployed2
biosigflag = 1;
else
% adding all folders in external
% ------------------------------
disp(['Adding path to all EEGLAB functions']);
p = which('eeglab.m');
p = p(1:findstr(p,'eeglab.m')-1);
if strcmpi(p, './') || strcmpi(p, '.\'), p = [ pwd filesep ]; end;
dircontent = dir([ p 'external' ]);
dircontent = { dircontent.name };
for index = 1:length(dircontent)
if dircontent{index}(1) ~= '.'
if exist([p 'external' filesep dircontent{index}]) == 7
addpath([p 'external' filesep dircontent{index}]);
disp(['Adding path to eeglab' filesep 'external' filesep dircontent{index}]);
end;
if ~isempty(findstr('fieldtrip', lower(dircontent{index})))
addpathexist([p 'external' filesep dircontent{index} filesep 'forward' ]);
addpathexist([p 'external' filesep dircontent{index} filesep 'inverse' ]);
addpathexist([p 'external' filesep dircontent{index} filesep 'utilities' ]);
addpathexist([p 'external' filesep dircontent{index} ]);
disp(['Adding path to eeglab' filesep 'external' filesep dircontent{index} ' subfolders' ]);
end;
if ~isempty(findstr('biosig', lower(dircontent{index})))
addpathexist([p 'external' filesep dircontent{index} filesep 't200_FileAccess' ]);
addpathexist([p 'external' filesep dircontent{index} filesep 't250_ArtifactPreProcessingQualityControl' ]);
addpathexist([p 'external' filesep dircontent{index} filesep 'doc' ]);
biosigflag = 1;
end;
end;
end;
% check for older version of Fieldtrip and presence of topoplot
% -------------------------------------------------------------
if ismatlab
ptopoplot2 = fileparts(which('topoplot'));
if ~strcmpi(ptopoplot, ptopoplot2),
%disp(' Warning: duplicate function topoplot.m in Fieldtrip and EEGLAB');
%disp(' EEGLAB function will prevail and call the Fieldtrip one when appropriate');
addpath(ptopoplot);
end;
end;
end;
cb_importdata = [ nocheck '[EEG LASTCOM] = pop_importdata;' e_newset ];
cb_readegi = [ nocheck '[EEG LASTCOM] = pop_readegi;' e_newset ];
cb_readsegegi = [ nocheck '[EEG LASTCOM] = pop_readsegegi;' e_newset ];
cb_readegiepo = [ nocheck '[EEG LASTCOM] = pop_importegimat;' e_newset ];
cb_loadbci = [ nocheck '[EEG LASTCOM] = pop_loadbci;' e_newset ];
cb_snapread = [ nocheck '[EEG LASTCOM] = pop_snapread;' e_newset ];
cb_loadcnt = [ nocheck '[EEG LASTCOM] = pop_loadcnt;' e_newset ];
cb_loadeeg = [ nocheck '[EEG LASTCOM] = pop_loadeeg;' e_newset ];
cb_biosig = [ nocheck '[EEG LASTCOM] = pop_biosig; ' e_newset ];
cb_fileio = [ nocheck '[EEG LASTCOM] = pop_fileio; ' e_newset ];
cb_importepoch = [ checkepoch '[EEG LASTCOM] = pop_importepoch(EEG);' e_store ];
cb_loaddat = [ checkepoch '[EEG LASTCOM]= pop_loaddat(EEG);' e_store ];
cb_importevent = [ check '[EEG LASTCOM] = pop_importevent(EEG);' e_store ];
cb_chanevent = [ check '[EEG LASTCOM]= pop_chanevent(EEG);' e_store ];
cb_importpres = [ check '[EEG LASTCOM]= pop_importpres(EEG);' e_store ];
cb_importev2 = [ check '[EEG LASTCOM]= pop_importev2(EEG);' e_store ];
cb_export = [ check 'LASTCOM = pop_export(EEG);' e_histdone ];
cb_expica1 = [ check 'LASTCOM = pop_expica(EEG, ''weights'');' e_histdone ];
cb_expica2 = [ check 'LASTCOM = pop_expica(EEG, ''inv'');' e_histdone ];
cb_expdata = [ check 'LASTCOM = pop_writeeeg(EEG);' e_histdone ];
cb_loadset = [ nocheck '[EEG LASTCOM] = pop_loadset;' e_newset];
cb_saveset = [ check '[EEG LASTCOM] = pop_saveset(EEG, ''savemode'', ''resave'');' e_store ];
cb_savesetas = [ check '[EEG LASTCOM] = pop_saveset(EEG);' e_store ];
cb_delset = [ nocheck '[ALLEEG LASTCOM] = pop_delset(ALLEEG, -CURRENTSET);' e_hist_nh 'eeglab redraw;' ];
cb_study1 = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_study([], ALLEEG , ''gui'', ''on'');' e_load_study];
cb_study2 = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_study([], isempty(ALLEEG), ''gui'', ''on'');' e_load_study];
cb_studyerp = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_studyerp;' e_load_study];
cb_loadstudy = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_loadstudy;' e_load_study];
cb_savestudy1 = [ check '[STUDYTMP ALLEEGTMP LASTCOM] = pop_savestudy(STUDY, EEG, ''savemode'', ''resave'');' e_load_study];
cb_savestudy2 = [ check '[STUDYTMP ALLEEGTMP LASTCOM] = pop_savestudy(STUDY, EEG);' e_load_study];
cb_clearstudy = 'LASTCOM = ''STUDY = []; CURRENTSTUDY = 0; ALLEEG = []; EEG=[]; CURRENTSET=[];''; eval(LASTCOM); eegh( LASTCOM ); eeglab redraw;';
cb_editoptions = [ nocheck 'if isfield(ALLEEG, ''nbchan''), LASTCOM = pop_editoptions(length([ ALLEEG.nbchan ]) >1);' ...
'else LASTCOM = pop_editoptions(0); end;' e_storeall_nh];
cb_saveh1 = [ nocheck 'LASTCOM = pop_saveh(EEG.history);' e_hist_nh];
cb_saveh2 = [ nocheck 'LASTCOM = pop_saveh(ALLCOM);' e_hist_nh];
cb_runsc = [ nocheck 'LASTCOM = pop_runscript;' e_hist ];
cb_quit = [ 'close(gcf); disp(''To save the EEGLAB command history >> pop_saveh(ALLCOM);'');' ...
'clear global EEG ALLEEG LASTCOM CURRENTSET;'];
cb_editset = [ check '[EEG LASTCOM] = pop_editset(EEG);' e_store];
cb_editeventf = [ checkevent '[EEG LASTCOM] = pop_editeventfield(EEG);' e_store];
cb_editeventv = [ checkevent '[EEG LASTCOM] = pop_editeventvals(EEG);' e_store];
cb_comments = [ check '[EEG.comments LASTCOM] =pop_comments(EEG.comments, ''About this dataset'');' e_store];
cb_chanedit = [ 'disp(''IMPORTANT: After importing/modifying data channels, you must close'');' ...
'disp(''the channel editing window for the changes to take effect in EEGLAB.'');' ...
'disp(''TIP: Call this function directy from the prompt, ">> pop_chanedit([]);"'');' ...
'disp('' to convert between channel location file formats'');' ...
'[EEG TMPINFO TMP LASTCOM] = pop_chanedit(EEG); if ~isempty(LASTCOM), EEG = eeg_checkset(EEG, ''chanlocsize'');' ...
'clear TMPINFO TMP; EEG = eegh(LASTCOM, EEG);' storecall 'end; eeglab(''redraw'');'];
cb_select = [ check '[EEG LASTCOM] = pop_select(EEG);' e_newset];
cb_rmdat = [ checkevent '[EEG LASTCOM] = pop_rmdat(EEG);' e_newset];
cb_selectevent = [ checkevent '[EEG TMP LASTCOM] = pop_selectevent(EEG); clear TMP;' e_newset ];
cb_copyset = [ check '[ALLEEG EEG CURRENTSET LASTCOM] = pop_copyset(ALLEEG, CURRENTSET); eeglab(''redraw'');' e_hist_nh];
cb_mergeset = [ check '[EEG LASTCOM] = pop_mergeset(ALLEEG);' e_newset];
cb_resample = [ check '[EEG LASTCOM] = pop_resample(EEG);' e_newset];
cb_eegfilt = [ check '[EEG LASTCOM] = pop_eegfilt(EEG);' e_newset];
cb_interp = [ check '[EEG LASTCOM] = pop_interp(EEG); ' e_newset];
cb_reref = [ check '[EEG LASTCOM] = pop_reref(EEG);' e_newset];
cb_eegplot = [ checkcont '[LASTCOM] = pop_eegplot(EEG, 1);' e_hist];
cb_epoch = [ check '[EEG tmp LASTCOM] = pop_epoch(EEG); clear tmp;' e_newset check '[EEG LASTCOM] = pop_rmbase(EEG);' e_store];
cb_rmbase = [ check '[EEG LASTCOM] = pop_rmbase(EEG);' e_store];
cb_runica = [ check '[EEG LASTCOM] = pop_runica(EEG);' e_store];
cb_subcomp = [ checkica '[EEG LASTCOM] = pop_subcomp(EEG);' e_newset];
%cb_chanrej = [ check 'pop_rejchan(EEG); LASTCOM = '''';' e_hist];
cb_chanrej = [ check '[EEG tmp1 tmp2 LASTCOM] = pop_rejchan(EEG); clear tmp1 tmp2;' e_hist];
cb_autorej = [ check '[EEG tmpp LASTCOM] = pop_autorej(EEG); clear tmpp;' e_hist];
cb_rejmenu1 = [ check 'pop_rejmenu(EEG, 1); LASTCOM = '''';' e_hist];
cb_eegplotrej1 = [ check '[LASTCOM] = pop_eegplot(EEG, 1);' e_hist];
cb_eegthresh1 = [ checkepoch '[TMP LASTCOM] = pop_eegthresh(EEG, 1); clear TMP;' e_hist];
cb_rejtrend1 = [ checkepoch '[EEG LASTCOM] = pop_rejtrend(EEG, 1);' e_store];
cb_jointprob1 = [ checkepoch '[EEG LASTCOM] = pop_jointprob(EEG, 1);' e_store];
cb_rejkurt1 = [ checkepoch '[EEG LASTCOM] = pop_rejkurt(EEG, 1);' e_store];
cb_rejspec1 = [ checkepoch '[EEG Itmp LASTCOM] = pop_rejspec(EEG, 1); clear Itmp;' e_store];
cb_rejsup1 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 1,1,1,1,1,1,1,1); eegh(LASTCOM);' ...
'LASTCOM = ''EEG.reject.icarejmanual = EEG.reject.rejglobal;''; eval(LASTCOM);' e_store ];
cb_rejsup2 = [ checkepoch '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 1,1,1,1,1,1,1,1); EEG = eegh(LASTCOM, EEG);' ...
'[EEG LASTCOM] = pop_rejepoch(EEG);' e_newset];
cb_selectcomps = [ checkicaplot '[EEG LASTCOM] = pop_selectcomps(EEG);' e_store];
cb_rejmenu2 = [ checkepochica 'pop_rejmenu(EEG, 0); LASTCOM ='''';' e_hist];
cb_eegplotrej2 = [ checkica '[LASTCOM] = pop_eegplot(EEG, 0);' e_hist];
cb_eegthresh2 = [ checkepochica '[TMP LASTCOM] = pop_eegthresh(EEG, 0); clear TMP;' e_hist];
cb_rejtrend2 = [ checkepochica '[EEG LASTCOM] = pop_rejtrend(EEG, 0);' e_store];
cb_jointprob2 = [ checkepochica '[EEG LASTCOM] = pop_jointprob(EEG, 0);' e_store];
cb_rejkurt2 = [ checkepochica '[EEG LASTCOM] = pop_rejkurt(EEG, 0);' e_store];
cb_rejspec2 = [ checkepochica '[EEG Itmp LASTCOM] = pop_rejspec(EEG, 1); clear Itmp;' e_store];
cb_rejsup3 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 0,1,1,1,1,1,1,1); eegh(LASTCOM);' ...
'LASTCOM = ''EEG.reject.rejmanual = EEG.reject.rejglobal;''; eval(LASTCOM);' e_store ];
cb_rejsup4 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 0,1,1,1,1,1,1,1); EEG = eegh(LASTCOM, EEG);' ...
'[EEG LASTCOM] = pop_rejepoch(EEG);' e_newset ];
cb_topoblank1 = [ checkplot 'LASTCOM = [''figure; topoplot([],EEG.chanlocs, ''''style'''', ''''blank'''', ' ...
'''''electrodes'''', ''''labelpoint'''', ''''chaninfo'''', EEG.chaninfo);'']; eval(LASTCOM);' e_hist];
cb_topoblank2 = [ checkplot 'LASTCOM = [''figure; topoplot([],EEG.chanlocs, ''''style'''', ''''blank'''', ' ...
'''''electrodes'''', ''''numpoint'''', ''''chaninfo'''', EEG.chaninfo);'']; eval(LASTCOM);' e_hist];
cb_eegplot1 = [ check 'LASTCOM = pop_eegplot(EEG, 1, 1, 1);' e_hist];
cb_spectopo1 = [ check 'LASTCOM = pop_spectopo(EEG, 1);' e_hist];
cb_prop1 = [ checkplot 'LASTCOM = pop_prop(EEG,1);' e_hist];
cb_erpimage1 = [ checkepoch 'LASTCOM = pop_erpimage(EEG, 1, eegh(''find'',''pop_erpimage(EEG,1''));' e_hist];
cb_timtopo = [ checkplot 'LASTCOM = pop_timtopo(EEG);' e_hist];
cb_plottopo = [ checkplot 'LASTCOM = pop_plottopo(EEG);' e_hist];
cb_topoplot1 = [ checkplot 'LASTCOM = pop_topoplot(EEG, 1);' e_hist];
cb_headplot1 = [ checkplot '[EEG LASTCOM] = pop_headplot(EEG, 1);' e_store];
cb_comperp1 = [ checkepoch 'LASTCOM = pop_comperp(ALLEEG);' e_hist];
cb_eegplot2 = [ checkica '[LASTCOM] = pop_eegplot(EEG, 0, 1, 1);' e_hist];
cb_spectopo2 = [ checkicaplot 'LASTCOM = pop_spectopo(EEG, 0);' e_hist];
cb_topoplot2 = [ checkicaplot 'LASTCOM = pop_topoplot(EEG, 0);' e_hist];
cb_headplot2 = [ checkicaplot '[EEG LASTCOM] = pop_headplot(EEG, 0);' e_store];
cb_prop2 = [ checkicaplot 'LASTCOM = pop_prop(EEG,0);' e_hist];
cb_erpimage2 = [ checkepochica 'LASTCOM = pop_erpimage(EEG, 0, eegh(''find'',''pop_erpimage(EEG,0''));' e_hist];
cb_envtopo1 = [ checkica 'LASTCOM = pop_envtopo(EEG);' e_hist];
cb_envtopo2 = [ checkica 'if length(ALLEEG) == 1, error(''Need at least 2 datasets''); end; LASTCOM = pop_envtopo(ALLEEG);' e_hist];
cb_plotdata2 = [ checkepochica '[tmpeeg LASTCOM] = pop_plotdata(EEG, 0); clear tmpeeg;' e_hist];
cb_comperp2 = [ checkepochica 'LASTCOM = pop_comperp(ALLEEG, 0);' e_hist];
cb_signalstat1 = [ check 'LASTCOM = pop_signalstat(EEG, 1);' e_hist];
cb_signalstat2 = [ checkica 'LASTCOM = pop_signalstat(EEG, 0);' e_hist];
cb_eventstat = [ checkevent 'LASTCOM = pop_eventstat(EEG);' e_hist];
cb_timef1 = [ check 'LASTCOM = pop_newtimef(EEG, 1, eegh(''find'',''pop_newtimef(EEG,1''));' e_hist];
cb_crossf1 = [ check 'LASTCOM = pop_newcrossf(EEG, 1,eegh(''find'',''pop_newcrossf(EEG,1''));' e_hist];
cb_timef2 = [ checkica 'LASTCOM = pop_newtimef(EEG, 0, eegh(''find'',''pop_newtimef(EEG,0''));' e_hist];
cb_crossf2 = [ checkica 'LASTCOM = pop_newcrossf(EEG, 0,eegh(''find'',''pop_newcrossf(EEG,0''));' e_hist];
cb_study3 = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_study(STUDY, ALLEEG, ''gui'', ''on'');' e_load_study];
cb_studydesign = [ nocheck '[STUDYTMP LASTCOM] = pop_studydesign(STUDY, ALLEEG); ALLEEGTMP = ALLEEG;' e_load_study];
cb_precomp = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_precomp(STUDY, ALLEEG);' e_load_study];
cb_chanplot = [ nocheck '[STUDYTMP LASTCOM] = pop_chanplot(STUDY, ALLEEG); ALLEEGTMP=ALLEEG;' e_load_study];
cb_precomp2 = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_precomp(STUDY, ALLEEG, ''components'');' e_load_study];
cb_preclust = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_preclust(STUDY, ALLEEG);' e_load_study];
cb_clust = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_clust(STUDY, ALLEEG);' e_load_study];
cb_clustedit = [ nocheck 'ALLEEGTMP = ALLEEG; [STUDYTMP LASTCOM] = pop_clustedit(STUDY, ALLEEG);' e_load_study];
% menu definition
% ---------------
if ismatlab
W_MAIN = findobj('tag', 'EEGLAB');
EEGUSERDAT = get(W_MAIN, 'userdata');
set(W_MAIN, 'MenuBar', 'none');
file_m = uimenu( W_MAIN, 'Label', 'File');
neuro_m = uimenu( file_m, 'Label', 'Import data', 'tag', 'import data');
epoch_m = uimenu( file_m, 'Label', 'Import epoch info', 'tag', 'import epoch');
event_m = uimenu( file_m, 'Label', 'Import event info', 'tag', 'import event');
exportm = uimenu( file_m, 'Label', 'Export', 'tag', 'export');
edit_m = uimenu( W_MAIN, 'Label', 'Edit');
tools_m = uimenu( W_MAIN, 'Label', 'Tools', 'tag', 'tools');
plot_m = uimenu( W_MAIN, 'Label', 'Plot', 'tag', 'plot');
loc_m = uimenu( plot_m, 'Label', 'Channel locations' );
std_m = uimenu( W_MAIN, 'Label', 'Study', 'tag', 'study');
set_m = uimenu( W_MAIN, 'Label', 'Datasets');
help_m = uimenu( W_MAIN, 'Label', 'Help');
uimenu( neuro_m, 'Label', 'From ASCII/float file or Matlab array', 'CallBack', cb_importdata);
uimenu( neuro_m, 'Label', 'From Netstation binary simple file' , 'CallBack', cb_readegi, 'Separator', 'on');
uimenu( neuro_m, 'Label', 'From Multiple seg. Netstation files' , 'CallBack', cb_readsegegi);
uimenu( neuro_m, 'Label', 'From Netstation Matlab files' , 'CallBack', cb_readegiepo);
uimenu( neuro_m, 'Label', 'From BCI2000 ASCII file' , 'CallBack', cb_loadbci, 'Separator', 'on');
uimenu( neuro_m, 'Label', 'From Snapmaster .SMA file' , 'CallBack', cb_snapread, 'Separator', 'on');
uimenu( neuro_m, 'Label', 'From Neuroscan .CNT file' , 'CallBack', cb_loadcnt, 'Separator', 'on');
uimenu( neuro_m, 'Label', 'From Neuroscan .EEG file' , 'CallBack', cb_loadeeg);
% BIOSIG MENUS
% ------------
if biosigflag
uimenu( neuro_m, 'Label', 'From Biosemi BDF file (BIOSIG toolbox)', 'CallBack' , cb_biosig, 'Separator', 'on');
uimenu( neuro_m, 'Label', 'From EDF/EDF+/GDF files (BIOSIG toolbox)', 'CallBack', cb_biosig);
end;
uimenu( epoch_m, 'Label', 'From Matlab array or ASCII file' , 'CallBack', cb_importepoch);
uimenu( epoch_m, 'Label', 'From Neuroscan .DAT file' , 'CallBack', cb_loaddat);
uimenu( event_m, 'Label', 'From Matlab array or ASCII file' , 'CallBack', cb_importevent);
uimenu( event_m, 'Label', 'From data channel' , 'CallBack', cb_chanevent);
uimenu( event_m, 'Label', 'From Presentation .LOG file' , 'CallBack', cb_importpres);
uimenu( event_m, 'Label', 'From Neuroscan .ev2 file' , 'CallBack', cb_importev2);
uimenu( exportm, 'Label', 'Data and ICA activity to text file' , 'CallBack', cb_export);
uimenu( exportm, 'Label', 'Weight matrix to text file' , 'CallBack', cb_expica1);
uimenu( exportm, 'Label', 'Inverse weight matrix to text file' , 'CallBack', cb_expica2);
uimenu( exportm, 'Label', 'Data to EDF/BDF/GDF file' , 'CallBack', cb_expdata, 'separator', 'on');
uimenu( file_m, 'Label', 'Load existing dataset' , 'CallBack', cb_loadset, 'Separator', 'on');
uimenu( file_m, 'Label', 'Save current dataset(s)' , 'CallBack', cb_saveset);
uimenu( file_m, 'Label', 'Save current dataset as' , 'CallBack', cb_savesetas);
uimenu( file_m, 'Label', 'Clear dataset(s)' , 'CallBack', cb_delset);
std2_m = uimenu( file_m, 'Label', 'Create study' , 'Separator', 'on');
uimenu( std2_m, 'Label', 'Using all loaded datasets' , 'Callback', cb_study1);
uimenu( std2_m, 'Label', 'Browse for datasets' , 'Callback', cb_study2);
uimenu( std2_m, 'Label', 'Simple ERP STUDY' , 'Callback', cb_studyerp);
uimenu( file_m, 'Label', 'Load existing study' , 'CallBack', cb_loadstudy,'Separator', 'on' );
uimenu( file_m, 'Label', 'Save current study' , 'CallBack', cb_savestudy1);
uimenu( file_m, 'Label', 'Save current study as' , 'CallBack', cb_savestudy2);
uimenu( file_m, 'Label', 'Clear study' , 'CallBack', cb_clearstudy);
uimenu( file_m, 'Label', 'Memory and other options' , 'CallBack', cb_editoptions, 'Separator', 'on');
hist_m = uimenu( file_m, 'Label', 'History scripts' , 'Separator', 'on');
uimenu( hist_m, 'Label', 'Save dataset history script' , 'CallBack', cb_saveh1);
uimenu( hist_m, 'Label', 'Save session history script' , 'CallBack', cb_saveh2);
uimenu( hist_m, 'Label', 'Run script' , 'CallBack', cb_runsc);
uimenu( file_m, 'Label', 'Quit' , 'CallBack', cb_quit, 'Separator', 'on');
uimenu( edit_m, 'Label', 'Dataset info' , 'CallBack', cb_editset);
uimenu( edit_m, 'Label', 'Event fields' , 'CallBack', cb_editeventf);
uimenu( edit_m, 'Label', 'Event values' , 'CallBack', cb_editeventv);
uimenu( edit_m, 'Label', 'About this dataset' , 'CallBack', cb_comments);
uimenu( edit_m, 'Label', 'Channel locations' , 'CallBack', cb_chanedit);
uimenu( edit_m, 'Label', 'Select data' , 'CallBack', cb_select, 'Separator', 'on');
uimenu( edit_m, 'Label', 'Select data using events' , 'CallBack', cb_rmdat);
uimenu( edit_m, 'Label', 'Select epochs or events' , 'CallBack', cb_selectevent);
uimenu( edit_m, 'Label', 'Copy current dataset' , 'CallBack', cb_copyset, 'Separator', 'on');
uimenu( edit_m, 'Label', 'Append datasets' , 'CallBack', cb_mergeset);
uimenu( edit_m, 'Label', 'Delete dataset(s)' , 'CallBack', cb_delset);
uimenu( tools_m, 'Label', 'Change sampling rate' , 'CallBack', cb_resample);
filter_m = uimenu( tools_m, 'Label', 'Filter the data' , 'tag', 'filter');
uimenu( filter_m, 'Label', 'Basic FIR filter' , 'CallBack', cb_eegfilt);
uimenu( tools_m, 'Label', 'Re-reference' , 'CallBack', cb_reref);
uimenu( tools_m, 'Label', 'Interpolate electrodes' , 'CallBack', cb_interp);
uimenu( tools_m, 'Label', 'Reject continuous data by eye' , 'CallBack', cb_eegplot);
uimenu( tools_m, 'Label', 'Extract epochs' , 'CallBack', cb_epoch, 'Separator', 'on');
uimenu( tools_m, 'Label', 'Remove baseline' , 'CallBack', cb_rmbase);
uimenu( tools_m, 'Label', 'Run ICA' , 'CallBack', cb_runica, 'foregroundcolor', 'b', 'Separator', 'on');
uimenu( tools_m, 'Label', 'Remove components' , 'CallBack', cb_subcomp);
uimenu( tools_m, 'Label', 'Automatic channel rejection' , 'CallBack', cb_chanrej, 'Separator', 'on');
uimenu( tools_m, 'Label', 'Automatic epoch rejection' , 'CallBack', cb_autorej);
rej_m1 = uimenu( tools_m, 'Label', 'Reject data epochs');
rej_m2 = uimenu( tools_m, 'Label', 'Reject data using ICA');
uimenu( rej_m1, 'Label', 'Reject data (all methods)' , 'CallBack', cb_rejmenu1);
uimenu( rej_m1, 'Label', 'Reject by inspection' , 'CallBack', cb_eegplotrej1);
uimenu( rej_m1, 'Label', 'Reject extreme values' , 'CallBack', cb_eegthresh1);
uimenu( rej_m1, 'Label', 'Reject by linear trend/variance' , 'CallBack', cb_rejtrend1);
uimenu( rej_m1, 'Label', 'Reject by probability' , 'CallBack', cb_jointprob1);
uimenu( rej_m1, 'Label', 'Reject by kurtosis' , 'CallBack', cb_rejkurt1);
uimenu( rej_m1, 'Label', 'Reject by spectra' , 'CallBack', cb_rejspec1);
uimenu( rej_m1, 'Label', 'Export marks to ICA reject' , 'CallBack', cb_rejsup1, 'separator', 'on');
uimenu( rej_m1, 'Label', 'Reject marked epochs' , 'CallBack', cb_rejsup2, 'separator', 'on', 'foregroundcolor', 'b');
uimenu( rej_m2, 'Label', 'Reject components by map' , 'CallBack', cb_selectcomps);
uimenu( rej_m2, 'Label', 'Reject data (all methods)' , 'CallBack', cb_rejmenu2, 'Separator', 'on');
uimenu( rej_m2, 'Label', 'Reject by inspection' , 'CallBack', cb_eegplotrej2);
uimenu( rej_m2, 'Label', 'Reject extreme values' , 'CallBack', cb_eegthresh2);
uimenu( rej_m2, 'Label', 'Reject by linear trend/variance' , 'CallBack', cb_rejtrend2);
uimenu( rej_m2, 'Label', 'Reject by probability' , 'CallBack', cb_jointprob2);
uimenu( rej_m2, 'Label', 'Reject by kurtosis' , 'CallBack', cb_rejkurt2);
uimenu( rej_m2, 'Label', 'Reject by spectra' , 'CallBack', cb_rejspec2);
uimenu( rej_m2, 'Label', 'Export marks to data reject' , 'CallBack', cb_rejsup3, 'separator', 'on');
uimenu( rej_m2, 'Label', 'Reject marked epochs' , 'CallBack', cb_rejsup4, 'separator', 'on', 'foregroundcolor', 'b');
uimenu( loc_m, 'Label', 'By name' , 'CallBack', cb_topoblank1);
uimenu( loc_m, 'Label', 'By number' , 'CallBack', cb_topoblank2);
uimenu( plot_m, 'Label', 'Channel data (scroll)' , 'CallBack', cb_eegplot1, 'Separator', 'on');
uimenu( plot_m, 'Label', 'Channel spectra and maps' , 'CallBack', cb_spectopo1);
uimenu( plot_m, 'Label', 'Channel properties' , 'CallBack', cb_prop1);
uimenu( plot_m, 'Label', 'Channel ERP image' , 'CallBack', cb_erpimage1);
ERP_m = uimenu( plot_m, 'Label', 'Channel ERPs');
uimenu( ERP_m, 'Label', 'With scalp maps' , 'CallBack', cb_timtopo);
uimenu( ERP_m, 'Label', 'In scalp/rect. array' , 'CallBack', cb_plottopo);
topo_m = uimenu( plot_m, 'Label', 'ERP map series');
uimenu( topo_m, 'Label', 'In 2-D' , 'CallBack', cb_topoplot1);
uimenu( topo_m, 'Label', 'In 3-D' , 'CallBack', cb_headplot1);
uimenu( plot_m, 'Label', 'Sum/Compare ERPs' , 'CallBack', cb_comperp1);
uimenu( plot_m, 'Label', 'Component activations (scroll)' , 'CallBack', cb_eegplot2,'Separator', 'on');
uimenu( plot_m, 'Label', 'Component spectra and maps' , 'CallBack', cb_spectopo2);
tica_m = uimenu( plot_m, 'Label', 'Component maps');
uimenu( tica_m, 'Label', 'In 2-D' , 'CallBack', cb_topoplot2);
uimenu( tica_m, 'Label', 'In 3-D' , 'CallBack', cb_headplot2);
uimenu( plot_m, 'Label', 'Component properties' , 'CallBack', cb_prop2);
uimenu( plot_m, 'Label', 'Component ERP image' , 'CallBack', cb_erpimage2);
ERPC_m = uimenu( plot_m, 'Label', 'Component ERPs');
uimenu( ERPC_m, 'Label', 'With component maps' , 'CallBack', cb_envtopo1);
uimenu( ERPC_m, 'Label', 'With comp. maps (compare)' , 'CallBack', cb_envtopo2);
uimenu( ERPC_m, 'Label', 'In rectangular array' , 'CallBack', cb_plotdata2);
uimenu( plot_m, 'Label', 'Sum/Compare comp. ERPs' , 'CallBack', cb_comperp2);
stat_m = uimenu( plot_m, 'Label', 'Data statistics', 'Separator', 'on');
uimenu( stat_m, 'Label', 'Channel statistics' , 'CallBack', cb_signalstat1);
uimenu( stat_m, 'Label', 'Component statistics' , 'CallBack', cb_signalstat2);
uimenu( stat_m, 'Label', 'Event statistics' , 'CallBack', cb_eventstat);
spec_m = uimenu( plot_m, 'Label', 'Time-frequency transforms', 'Separator', 'on');
uimenu( spec_m, 'Label', 'Channel time-frequency' , 'CallBack', cb_timef1);
uimenu( spec_m, 'Label', 'Channel cross-coherence' , 'CallBack', cb_crossf1);
uimenu( spec_m, 'Label', 'Component time-frequency' , 'CallBack', cb_timef2,'Separator', 'on');
uimenu( spec_m, 'Label', 'Component cross-coherence' , 'CallBack', cb_crossf2);
uimenu( std_m, 'Label', 'Edit study info' , 'CallBack', cb_study3);
uimenu( std_m, 'Label', 'Select/Edit study design(s)' , 'CallBack', cb_studydesign);
uimenu( std_m, 'Label', 'Precompute channel measures' , 'CallBack', cb_precomp, 'separator', 'on');
uimenu( std_m, 'Label', 'Plot channel measures' , 'CallBack', cb_chanplot);
uimenu( std_m, 'Label', 'Precompute component measures' , 'CallBack', cb_precomp2, 'separator', 'on');
clust_m = uimenu( std_m, 'Label', 'PCA clustering (original)');
uimenu( clust_m, 'Label', 'Build preclustering array' , 'CallBack', cb_preclust);
uimenu( clust_m, 'Label', 'Cluster components' , 'CallBack', cb_clust);
uimenu( std_m, 'Label', 'Edit/plot clusters' , 'CallBack', cb_clustedit);
if ~iseeglabdeployed2
uimenu( help_m, 'Label', 'About EEGLAB' , 'CallBack', 'pophelp(''eeglab'');');
uimenu( help_m, 'Label', 'About EEGLAB help' , 'CallBack', 'pophelp(''eeg_helphelp'');');
uimenu( help_m, 'Label', 'EEGLAB menus' , 'CallBack', 'eeg_helpmenu;','separator','on');
help_1 = uimenu( help_m, 'Label', 'EEGLAB functions');
uimenu( help_1, 'Label', 'Admin functions' , 'Callback', 'eeg_helpadmin;');
uimenu( help_1, 'Label', 'Interactive pop_ functions' , 'Callback', 'eeg_helppop;');
uimenu( help_1, 'Label', 'Signal processing functions' , 'Callback', 'eeg_helpsigproc;');
uimenu( help_m, 'Label', 'EEGLAB license' , 'CallBack', 'pophelp(''eeglablicense.txt'', 1);');
else
uimenu( help_m, 'Label', 'About EEGLAB' , 'CallBack', 'abouteeglab;');
uimenu( help_m, 'Label', 'EEGLAB license' , 'CallBack', 'pophelp(''eeglablicense.txt'', 1);');
end;
uimenu( help_m, 'Label', 'Web tutorial' , 'CallBack', 'tutorial;', 'Separator', 'on');
uimenu( help_m, 'Label', 'Email the EEGLAB team' , 'CallBack', 'web(''mailto:[email protected]'');');
end;
if iseeglabdeployed2
disp('Adding FIELDTRIP toolbox functions');
disp('Adding BIOSIG toolbox functions');
disp('Adding FILE-IO toolbox functions');
funcname = { 'eegplugin_VisEd' ...
'eegplugin_eepimport' ...
'eegplugin_bdfimport' ...
'eegplugin_brainmovie' ...
'eegplugin_bva_io' ...
'eegplugin_ctfimport' ...
'eegplugin_dipfit' ...
'eegplugin_erpssimport' ...
'eegplugin_fmrib' ...
'eegplugin_iirfilt' ...
'eegplugin_ascinstep' ...
'eegplugin_loreta' ...
'eegplugin_miclust' ...
'eegplugin_4dneuroimaging' };
for indf = 1:length(funcname)
try
vers = feval(funcname{indf}, gcf, trystrs, catchstrs);
disp(['EEGLAB: adding "' vers '" plugin' ]);
catch
feval(funcname{indf}, gcf, trystrs, catchstrs);
disp(['EEGLAB: adding plugin function "' funcname{indf} '"' ]);
end;
end;
else
% looking for eeglab plugins
% --------------------------
p = which('eeglab.m');
p = p(1:findstr(p,'eeglab.m')-1);
if strcmpi(p, './') || strcmpi(p, '.\'), p = [ pwd filesep ]; end;
dircontent = dir(fullfile(p, 'plugins'));
dircontent = { dircontent.name };
% scan plugin folder
% ------------------
for index = 1:length(dircontent)
% find function
% -------------
funcname = '';
if exist([p 'plugins' filesep dircontent{index}]) == 7
if ~strcmpi(dircontent{index}, '.') & ~strcmpi(dircontent{index}, '..')
addpath([ p 'plugins' filesep dircontent{index} ]);
tmpdir = dir([ p 'plugins' filesep dircontent{index}]);
for tmpind = 1:length(tmpdir)
% find plugin function in subfolder
% ---------------------------------
if ~isempty(findstr(tmpdir(tmpind).name, 'eegplugin')) & tmpdir(tmpind).name(end) == 'm'
funcname = tmpdir(tmpind).name(1:end-2);
tmpind = length(tmpdir);
end;
% special case of eeglab subfolder (for BIOSIG)
% --------------------------------
if strcmpi(tmpdir(tmpind).name, 'eeglab')
addpath([ p 'plugins' filesep dircontent{index} filesep 'eeglab' ],'-end');
tmpdir2 = dir([ p 'plugins' filesep dircontent{index} filesep 'eeglab' ]);
for tmpind2 = 1:length(tmpdir2)
if ~isempty(findstr(tmpdir2(tmpind2).name, 'eegplugin')) ...
& tmpdir2(tmpind2).name(end) == 'm'
funcname = tmpdir2(tmpind2).name(1:end-2);
tmpind2 = length(tmpdir2);
tmpind = length(tmpdir);
end;
end;
end;
end;
end;
else
if ~isempty(findstr(dircontent{index}, 'eegplugin')) & dircontent{index}(end) == 'm'
funcname = dircontent{index}(1:end-2); % remove .m
end;
end;
% execute function
% ----------------
if ~isempty(funcname)
vers = ''; % version
try,
eval( [ 'vers =' funcname '(gcf, trystrs, catchstrs);' ]);
disp(['EEGLAB: adding "' vers '" plugin (see >> help ' funcname ')' ]);
catch
try,
eval( [ funcname '(gcf, trystrs, catchstrs)' ]);
disp(['EEGLAB: adding plugin function "' funcname '"' ]);
catch
disp([ 'EEGLAB: error while adding plugin "' funcname '"' ] );
disp([ ' ' lasterr] );
end;
end;
end;
end;
end; % iseeglabdeployed2
if ~ismatlab, return; end;
% add other import ...
% --------------------
cb_others = [ 'warndlg2(strvcat(''Several EEGLAB plugins (not included by default) are available to import cogniscan,'',' ...
''' micromed, and TDT formats. To download plugins go to www.sccn.ucsd.edu/eeglab/plugins/.'',' ...
''' '',' ...
'''The FILEIO and BIOSIG toolboxes interface (included at the end of the import data'',' ...
'''menu) also allow to import in EEGLAB a wide variety of EEG/MEG data file formats'',' ...
'''(see www2.ru.nl/fcdonders/fieldtrip/doku.php?id=fieldtrip:dataformat (FILEIO) and'',' ...
'''biosig.sourceforge.net/SupportedSystems.html (BIOSIG) for supported file formats)'',' ...
''' ''));' ];
if exist('ft_chantype')
uimenu( neuro_m, 'Label', 'From other formats using FILE-IO toolbox' , 'CallBack', cb_fileio, 'separator', 'on');
end;
if biosigflag
uimenu( neuro_m, 'Label', 'From other formats using BIOSIG toolbox' , 'CallBack', cb_biosig);
end;
uimenu( neuro_m, 'Label', 'Troubleshooting, other data formats...', 'CallBack', cb_others);
% changing plugin menu color
% --------------------------
fourthsub_m = findobj('parent', tools_m);
plotsub_m = findobj('parent', plot_m);
importsub_m = findobj('parent', neuro_m);
epochsub_m = findobj('parent', epoch_m);
eventsub_m = findobj('parent', event_m);
editsub_m = findobj('parent', edit_m);
exportsub_m = findobj('parent', exportm);
filter_m = findobj('parent', filter_m);
icadefs; % containing PLUGINMENUCOLOR
if length(fourthsub_m) > 11, set(fourthsub_m(1:end-11), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(plotsub_m) > 17, set(plotsub_m (1:end-17), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(importsub_m) > 9, set(importsub_m(1:end-8) , 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(epochsub_m ) > 3 , set(epochsub_m (1:end-3 ), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(eventsub_m ) > 4 , set(eventsub_m (1:end-4 ), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(exportsub_m) > 4 , set(exportsub_m(1:end-4 ), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(editsub_m) > 10, set(editsub_m( 1:end-10), 'foregroundcolor', PLUGINMENUCOLOR); end;
if length(filter_m) > 3 , set(filter_m (1:end-1 ), 'foregroundcolor', PLUGINMENUCOLOR); end;
EEGMENU = uimenu( set_m, 'Label', '------', 'Enable', 'off');
eval('set(W_MAIN, ''userdat'', { EEGUSERDAT{1} EEGMENU javaobj });');
eeglab('redraw');
if nargout < 1
clear ALLEEG;
end;
% REMOVED MENUS
%uimenu( tools_m, 'Label', 'Automatic comp. reject', 'enable', 'off', 'CallBack', '[EEG LASTCOM] = pop_rejcomp(EEG); eegh(LASTCOM); if ~isempty(LASTCOM), eeg_store(CURRENTSET); end;');
%uimenu( tools_m, 'Label', 'Reject (synthesis)' , 'Separator', 'on', 'CallBack', '[EEG LASTCOM] = pop_rejall(EEG); eegh(LASTCOM); if ~isempty(LASTCOM), eeg_store; end; eeglab(''redraw'');');
% --------------------
% draw the main figure
% --------------------
function tb = eeg_mainfig(onearg);
icadefs;
COLOR = BACKEEGLABCOLOR;
WINMINX = 17;
WINMAXX = 260;
WINYDEC = 13;
NBLINES = 16;
WINY = WINYDEC*NBLINES;
javaChatFlag = 1;
BORDERINT = 4;
BORDEREXT = 10;
comp = computer;
if strcmpi(comp(1:3), 'GLN') % Linux
FONTNAME = 'courier';
FONTSIZE = 8;
elseif strcmpi(comp(1:3), 'MAC')
FONTNAME = 'courier';
FONTSIZE = 8;
else
FONTNAME = '';
FONTSIZE = 11;
end;
hh = findobj('tag', 'EEGLAB');
if ~isempty(hh)
disp('EEGLAB warning: there can be only one EEGLAB window, closing old one');
close(hh);
end;
if strcmpi(onearg, 'remote')
figure( 'name', [ 'EEGLAB v' eeg_getversion ], ...
'numbertitle', 'off', ...
'Position',[200 100 (WINMINX+WINMAXX+2*BORDERINT+2*BORDEREXT) 30 ], ...
'color', COLOR, ...
'Tag','EEGLAB', ...
'Userdata', {[] []});
'resize', 'off', ...
return;
end;
W_MAIN = figure('Units','points', ...
... % 'Colormap','gray', ...
'PaperPosition',[18 180 576 432], ...
'PaperUnits','points', ...
'name', [ 'EEGLAB v' eeg_getversion ], ...
'numbertitle', 'off', ...
'Position',[200 100 (WINMINX+WINMAXX+2*BORDERINT+2*BORDEREXT) (WINY+2*BORDERINT+2*BORDEREXT) ], ...
'color', COLOR, ...
'Tag','EEGLAB', ...
'visible', 'off', ...
'Userdata', {[] []});
% 'resize', 'off', ...
% java chat
eeglab_options;
if option_chat == 1
if is_sccn
disp('Starting chat...');
tmpp = fileparts(which('startpane.m'));
if isempty(tmpp) || ~ismatlab
disp('Cannot start chat');
tb = [];
else
disp(' ----------------------------------- ');
disp('| EEGLAB chat 0.9 |');
disp('| The chat currently only works |');
disp('| at the University of CA San Diego |');
disp(' ----------------------------------- ');
javaaddpath(fullfile(tmpp, 'Chat_with_pane.jar'));
eval('import client.EEGLABchat.*;');
eval('import client.VisualToolbar;');
eval('import java.awt.*;');
eval('import javax.swing.*;');
try
tb = VisualToolbar();
F = W_MAIN;
tb.setPreferredSize(Dimension(0, 75));
javacomponent(tb,'South',F);
refresh(F);
catch,
tb = [];
end;
end;
else
disp('CANNOT START CHAT - CURRENTLY ONLY AVAILABLE AT THE UNIVERSITY OF CALIFORNIA SD');
tb = [];
end;
else
tb = [];
end;
try,
set(W_MAIN, 'NextPlot','new');
catch, end;
if ismatlab
BackgroundColor = get(gcf, 'color'); %[0.701960784313725 0.701960784313725 0.701960784313725];
H_MAIN(1) = uicontrol('Parent',W_MAIN, ...
'Units','points', ...
'BackgroundColor',COLOR, ...
'ListboxTop',0, ...
'HorizontalAlignment', 'left',...
'Position',[BORDEREXT BORDEREXT (WINMINX+WINMAXX+2*BORDERINT) (WINY)], ...
'Style','frame', ...
'Tag','Frame1');
geometry = { [1] [1] [1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1 1] [1] };
listui = { { 'style', 'text', 'string', 'Parameters of the current set', 'tag', 'win0' } { } ...
{ 'style', 'text', 'tag', 'win1', 'string', ' ', 'userdata', 'datinfo' } ...
{ 'style', 'text', 'tag', 'win2', 'string', 'Channels per frame', 'userdata', 'datinfo'} ...
{ 'style', 'text', 'tag', 'val2', 'string', ' ', 'userdata', 'datinfo' } ...