diff --git a/eeglab.m b/eeglab.m
index 3355d9a72..394370b37 100644
--- a/eeglab.m
+++ b/eeglab.m
@@ -1404,6 +1404,10 @@ function updatemenu()
 index = 1;
 indexmenu = 1;
 MAX_SET = max(length( ALLEEG ), length(EEGMENU)-1);
+if MAX_SET > 200
+    disp('Updating menu, allowing selection of the first 200 datasets only to speed up display...')
+    MAX_SET = 200;
+end
 
 tmp = warning;
 warning off;
diff --git a/eeglablicense.txt b/eeglablicense.txt
index 06027f641..9a9a95265 100644
--- a/eeglablicense.txt
+++ b/eeglablicense.txt
@@ -1,6 +1,6 @@
 This is the license for the core for the eeglab.m function and
 the source code in the "functions" folder. EEGLAB plugins (in the
-"plugins" folder) may be released under different licenses.
+"plugins" folder) may be released under different licenses. 
 
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
diff --git a/functions/adminfunc/eeg_checkset.m b/functions/adminfunc/eeg_checkset.m
index f2511ec56..abfedbbf0 100644
--- a/functions/adminfunc/eeg_checkset.m
+++ b/functions/adminfunc/eeg_checkset.m
@@ -189,6 +189,11 @@
 % checking multiple datasets
 % --------------------------
 if length(EEG) > 1
+
+    if length(EEG) > 5000
+        disp('Too many datasets, abording check')
+        return;
+    end
     
     if nargin > 1
         switch varargin{1}
diff --git a/functions/guifunc/inputdlg2.m b/functions/guifunc/inputdlg2.m
index 88cc0ae6f..d3945bdd7 100644
--- a/functions/guifunc/inputdlg2.m
+++ b/functions/guifunc/inputdlg2.m
@@ -48,16 +48,32 @@
 % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
 % THE POSSIBILITY OF SUCH DAMAGE.
 
-function [result] = inputdlg2(Prompt,Title,LineNo,DefAns,funcname);
+function [result] = inputdlg2(Prompt,Title,LineNo,DefAns,funcname)
 
+if nargin < 2
+   help inputdlg2;
+   return;
+end
+if nargin < 3
+   LineNo = 1;
+end
 if nargin < 4
+   DefAns = {};
+end
+if nargin < 2
    help inputdlg2;
    return;
-end;	
+end
 if nargin < 5
 	funcname = '';
 end
 	
+if ~iscell(Prompt), Prompt = { Prompt }; end
+if isempty(DefAns)
+    DefAns = cell(1,length(Prompt));
+    DefAns(:) = { '' }; 
+end
+
 if length(Prompt) ~= length(DefAns)
 	error('inputdlg2: prompt and default answer cell array must have the same size');
 end
diff --git a/functions/guifunc/questdlg2.m b/functions/guifunc/questdlg2.m
index e542f763f..571ad0f59 100644
--- a/functions/guifunc/questdlg2.m
+++ b/functions/guifunc/questdlg2.m
@@ -37,7 +37,7 @@
 % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
 % THE POSSIBILITY OF SUCH DAMAGE.
 
-function [result] = questdlg2(Prompt,Title,varargin);
+function [result] = questdlg2(Prompt,Title,varargin)
 
 result = '';
 if nargin < 2
@@ -47,7 +47,6 @@
 if isempty(varargin)
     varargin = { 'Yes' 'No' 'Cancel' 'Yes' };
 end
-result = varargin{end};
 if Prompt(end) == 10, Prompt(end) = []; end
 if Prompt(end) == 10, Prompt(end) = []; end
 if Prompt(end) == 10, Prompt(end) = []; end
@@ -74,9 +73,17 @@
 end
 listui{end+1} = {};
 
+width = 80;
 geometry = { geometry{:} 1 ones(1,length(varargin)-1) };
 for index = 1:length(varargin)-1 % ignoring default val
-	listui = {listui{:} { 'width',80,'align','center','Style', 'pushbutton', 'string', varargin{index}, 'callback', ['set(gcbf, ''userdata'', ''' varargin{index} ''');'] }  };
+    if index == 1 
+        if length(varargin{index}) > 15
+            width = 160;
+        elseif length(varargin{index}) > 10
+            width = 120;
+        end
+    end
+	listui = {listui{:} { 'width',width,'align','center','Style', 'pushbutton', 'string', varargin{index}, 'callback', ['set(gcbf, ''userdata'', ''' varargin{index} ''');'] }  };
 	if strcmp(varargin{index}, varargin{end})
 		listui{end}{end+1} = 'fontweight';
 		listui{end}{end+1} = 'bold';
diff --git a/functions/miscfunc/arrow.m b/functions/miscfunc/arrow.m
old mode 100755
new mode 100644
diff --git a/functions/miscfunc/corrimage.m b/functions/miscfunc/corrimage.m
old mode 100755
new mode 100644
diff --git a/functions/miscfunc/erpregout.m b/functions/miscfunc/erpregout.m
old mode 100755
new mode 100644
diff --git a/functions/miscfunc/erpregoutfunc.m b/functions/miscfunc/erpregoutfunc.m
old mode 100755
new mode 100644
diff --git a/functions/popfunc/pop_chanedit.m b/functions/popfunc/pop_chanedit.m
index fa5532e6c..2a80f7153 100644
--- a/functions/popfunc/pop_chanedit.m
+++ b/functions/popfunc/pop_chanedit.m
@@ -194,6 +194,7 @@
             end
             
             % Apply to all datasets and resave if necessary
+            if isempty(com), return; end
             eeglab_options
             for iDat = 1:length(chans)
                 EEG = chans(iDat);
diff --git a/functions/popfunc/pop_envtopo.m b/functions/popfunc/pop_envtopo.m
old mode 100755
new mode 100644
diff --git a/functions/popfunc/pop_rejcont.m b/functions/popfunc/pop_rejcont.m
old mode 100755
new mode 100644
diff --git a/functions/sigprocfunc/envtopo.m b/functions/sigprocfunc/envtopo.m
old mode 100755
new mode 100644
diff --git a/functions/studyfunc/pop_limo.m b/functions/studyfunc/pop_limo.m
index 99393387e..dca3cd522 100644
--- a/functions/studyfunc/pop_limo.m
+++ b/functions/studyfunc/pop_limo.m
@@ -132,7 +132,7 @@
                      '   set(findobj(gcbf, ''tag'', ''options''), ''string'', ''''''freqlim'''', [1 25]'');' ...
                      'end;' ];
     cb_listfactors = [ 'pop_listfactors(STUDY, ''gui'', ''on'', ' ...
-                               '''level'', ''one'',' ...
+                               '''level'', ''both'',' ...
                                '''splitreg''   , fastif(get(findobj(gcbf, ''tag'', ''splitreg''   ), ''value''), ''on'', ''off''),' ...
                                '''interaction'', fastif(get(findobj(gcbf, ''tag'', ''interaction''), ''value''), ''on'', ''off''));' ];
     uilist = { ...
diff --git a/functions/studyfunc/pop_listfactors.m b/functions/studyfunc/pop_listfactors.m
index f403f5ef3..9570381df 100644
--- a/functions/studyfunc/pop_listfactors.m
+++ b/functions/studyfunc/pop_listfactors.m
@@ -57,14 +57,19 @@
 g = finputcheck(varargin, { 'gui'         'string' { 'on' 'off' } 'on';
     'splitreg'    'string' { 'on','off' } 'off';
     'contrast'    'string' { 'on','off' } 'off';
+    'constant'    'string' { 'on','off' } 'on';
     'level'       'string' { 'one','two','both'} 'both';
+    'vartype'     'string' { 'categorical','continuous','both'} 'both';
     'interaction' 'string' { 'on','off' } 'off' });
 if ischar(g)
     error(g);
 end
 
 if isfield(des,'design')
+    STUDY = des;
     des = des.design;
+else
+    STUDY = [];
 end
 
 allFactors = {}; % (strings) still used to find unique values
@@ -106,6 +111,24 @@
     allFactorsStruct = allFactorsStruct(inds);
 end
 
+% second level
+if ~isempty(STUDY)
+    [indvar, indvarvals] = std_getindvar(STUDY, 'datinfo');
+    % remove non numerical values
+    for iVar = length(indvar):-1:1
+        allFactorsStruct(end+1).label = indvar{iVar};
+        allFactorsStruct(end  ).level = 'two';
+        if ~isnumeric(indvarvals{iVar}{1})
+            allFactorsStruct(end).vartype = 'categorical';
+            allFactorsStruct(end).value   = indvarvals{iVar}; % multiple values
+            allFactorsStruct(end).description = [ allFactorsStruct(end).label ' - categorical (several values)'];
+        else
+            allFactorsStruct(end).vartype = 'continuous';
+            allFactorsStruct(end).description = [ allFactorsStruct(end).label ' - continuous'];
+        end
+    end
+end
+
 % filter first or second level
 if ~strcmpi(g.level, 'both')
     allFactorsStruct = filterlevel(allFactorsStruct, g.level);
@@ -128,20 +151,20 @@
     end
     
     % generate categorical labels
-    allLabels1 = getlabels(des1);
-    allLabels2 = getlabels(des2);
-    
+    allLabels1 = getlabels_l1(des1);
+    allLabels2 = getlabels_l2(des1, des2);
+
     listui = {};
     if ~isempty(des2)
-        listui{2,1} = { 'Style', 'text', 'string' '2nd-level variables' 'fontweight' 'bold' };
-        listui{2,2} = { 'Style', 'text', 'string' '(inter participant)' };
+        listui{2,1} = { 'Style', 'text', 'string' '2nd-level available statistics' 'fontweight' 'bold' };
+        listui{2,2} = { 'Style', 'text', 'string' '(inter subject)' };
         for index = 1:length(allLabels2)
             listui{2,index+2} = { 'Style', 'text', 'string' allLabels2{index} };
         end
     end
     if ~isempty(des1)
         listui{1,1} = { 'Style', 'text', 'string' '1st-level variables' 'fontweight' 'bold' };
-        listui{1,2} = { 'Style', 'text', 'string' '(intra participant)' };
+        listui{1,2} = { 'Style', 'text', 'string' '(intra subject)' };
         for index = 1:length(allLabels1)
             listui{1,index+2} = { 'Style', 'text', 'string' allLabels1{index} };
         end
@@ -195,7 +218,7 @@
         waitfor( fig, 'userdata');
     end
     
-    try,
+    try
         result = get(fig, 'userdata');
         close(fig);
         drawnow;
@@ -203,6 +226,18 @@
     
 end
 
+% add the constant level one
+if ~strcmpi(g.level, 'two') && strcmpi(g.constant, 'on')
+    allFactorsStruct(end+1).label = 'constant';
+    allFactorsStruct(end  ).level = 'one';
+    allFactorsStruct(end  ).vartype = 'categorical';
+    allFactorsStruct(end  ).description = 'Constant';
+end
+if ~strcmpi(g.vartype, 'both')
+    inds = strmatch(g.vartype, {allFactorsStruct.vartype});
+    allFactorsStruct = allFactorsStruct(inds);
+end
+
 % convert nested values to linear sequence
 function res = getstrval(vals)
 
@@ -227,7 +262,10 @@
         tmpFactor = sprintf('%s (continuous)', cellVal{iItem});
     elseif isnumeric(cellVal{iItem+1})
         tmpFactor = sprintf('%s = %d', cellVal{iItem}, cellVal{iItem+1});
-    else tmpFactor = sprintf('%s = %s', cellVal{iItem}, cellVal{iItem+1});
+    elseif iscell(cellVal{iItem+1})
+        tmpFactor = sprintf('%s', cellVal{iItem});
+    else
+        tmpFactor = sprintf('%s = %s', cellVal{iItem}, cellVal{iItem+1});
     end
     if iItem == 1
         str = tmpFactor;
@@ -245,8 +283,10 @@
 end
 allFactorsStruct(rmInd) = [];
 
-% get labels for design
-function allLabels = getlabels(des)
+% -------
+% level 1
+% -------
+function allLabels = getlabels_l1(des)
 allLabels = {};
 count     = 1;
 if isempty(des), return; end
@@ -264,4 +304,46 @@
     end
     count = count+1;
 end
+% add constant
 allLabels{count} = [ int2str(count) '. Constant' ];
+
+% -------
+% level 2
+% -------
+function allLabels = getlabels_l2(des1, des2)
+allLabels = {};
+count     = 1;
+if isempty(des2), return; end
+allLabels{count} = '* One-sample t-test on 1st level var.'; count = count+1;
+if ~isempty(des1.categorical)
+    allLabels{count} = '* Paire/unpaired t-test on 1st level var.'; count = count+1;
+end
+if any(cellfun(@length, des1.categorical) > 2)
+    allLabels{count} = '* ANOVA on 1st level var.'; count = count+1;
+end
+if length(des1.categorical) > 1 && length(des1.continuous) > 1 
+    allLabels{count} = '* ANCOVA on 1st level var.'; count = count+1;
+end
+for iCat = 1:length(des2.categorical)
+    for iVal = 1:length(des2.categorical{iCat})
+        if ~isempty(des2.continuous)
+            allLabels{count} = [ '* t-test/ANOVA/ANCOVA using ' formatcond(des2.categorical{iCat}{iVal}) ];
+        else
+            allLabels{count} = [ '* t-test/ANOVA using ' formatcond(des2.categorical{iCat}{iVal}) ];
+        end
+        count = count+1;
+    end
+end
+for iCont = 1:length(des2.continuous)
+    if ~isempty(des2.continuous)
+        allLabels{count} = [ '* Regression/ANCOVA using ' des2.continuous{iCont}{1} ];
+    else
+        allLabels{count} = [ '* Regression using ' formatcond(des2.continuous{iCont}) ];
+    end
+    count = count+1;
+end
+% allLabels{count} = '* Use STUDY "group" for subjects'' groups'; count = count+1;
+allLabels{count} = '* Regression/ANOVA/ANCOVA with text file'; count = count+1;
+allLabels{count} = '  (text file must have 1 row per subject)'; count = count+1;
+
+
diff --git a/functions/studyfunc/std_limo.m b/functions/studyfunc/std_limo.m
index c17576e2c..fbc622cee 100644
--- a/functions/studyfunc/std_limo.m
+++ b/functions/studyfunc/std_limo.m
@@ -300,7 +300,7 @@
 uniqueSessions = unique(allSessions);
 
 % by default we create a design matrix with all condition
-factors = pop_listfactors(STUDY.design(opt.design), 'gui', 'off', 'level', 'one');
+factors = pop_listfactors(STUDY.design(opt.design), 'gui', 'off', 'level', 'one', 'constant', 'off');
 
 for iSubj = 1:nb_subjects
     for iSess = 1:length(uniqueSessions)
@@ -548,7 +548,7 @@
 model.defaults.method           = opt.method;        % default is OLS - to be updated to 'WLS' once validated
 model.defaults.Level            = 1;                 % 1st level analysis
 model.defaults.type_of_analysis = 'Mass-univariate'; % option can be multivariate (work in progress)
-
+model.defaults.labels           = pop_listfactors(STUDY, 'gui', 'off', 'level', 'one', 'splitreg', opt.splitreg, 'interaction', opt.interaction);
 
 if ~exist('limocontrast','var')
     [LIMO_files, procstatus] = limo_batch('model specification',model,[],STUDY);
@@ -580,7 +580,7 @@
         fprintf('std_limo, computing additional between sessions contrasts for subject %s\n',uniqueSubjects{s})
         sess_name = allSessions(sess_index);
         pairs = nchoosek(1:length(sess_index),2); % do all session pairs
-        parfor p=1:size(pairs,1)
+        for p=1:size(pairs,1)
             strpair = [cell2mat(sess_name(pairs(p,1))) cell2mat(sess_name(pairs(p,2)))];
             strpair(isspace(strpair)) = []; % remove spaces
             filesout{p} = limo_contrast_sessions(cell2mat(LIMO_files.mat(sess_index(pairs(p,1)))), ...
diff --git a/functions/studyfunc/std_limodesign.m b/functions/studyfunc/std_limodesign.m
index 5f4ca9848..aed626223 100644
--- a/functions/studyfunc/std_limodesign.m
+++ b/functions/studyfunc/std_limodesign.m
@@ -94,6 +94,7 @@
 % -----------------------------------------
 alloptions = {};
 limodesign.categorical = {};
+alloptionsinter = {};
 if ~isempty(catVar)
     for iVar = 1:length(catVarLabel)
         indVals = find(cellfun(@(x)strcmpi(x, catVarLabel{iVar} ), { factors.label }));
diff --git a/functions/studyfunc/std_lm_seteegfields.m b/functions/studyfunc/std_lm_seteegfields.m
index ce84d9eda..80ef19a36 100644
--- a/functions/studyfunc/std_lm_seteegfields.m
+++ b/functions/studyfunc/std_lm_seteegfields.m
@@ -97,6 +97,10 @@
 %  --------------
 path_tmp = rel2fullpath(STUDY.filepath,STUDY.datasetinfo(index).filepath); 
 name = fullfile(path_tmp, STUDY.datasetinfo(index).subject);
+if ~isempty(STUDY.datasetinfo(index).session)
+    name2 = name;
+    name  = fullfile(path_tmp, [ STUDY.datasetinfo(index).subject sprintf('_ses-%2.2d',  STUDY.datasetinfo(index).session) ]);
+end
 
 %% Channels: update EEG.set file
 %  -----------------------------
@@ -109,7 +113,7 @@
 % DATERP
 if strcmp(opt.erp,'on')
     ext = [ prefix 'erp' ];
-    EEG.etc.datafiles.(ext) = getfilename(name, [ '.' ext ]);
+    EEG.etc.datafiles.(ext) = getfilename(name, name2, [ '.' ext ]);
     data = load('-mat',EEG.etc.datafiles.(ext));
     EEG.etc.timeerp = data.times;
 end
@@ -117,7 +121,7 @@
 % DATSPEC
 if strcmp(opt.spec,'on')
     ext = [ prefix 'spec' ];
-    EEG.etc.datafiles.(ext) = getfilename(name, [ '.' ext ]);
+    EEG.etc.datafiles.(ext) = getfilename(name, name2, [ '.' ext ]);
     data = load('-mat',EEG.etc.datafiles.(ext));
     EEG.etc.freqspec = data.freqs;
 end
@@ -125,7 +129,7 @@
 % DAT TIMEF
 if strcmp(opt.timef,'on')
     ext = [ prefix 'timef' ];
-    EEG.etc.datafiles.(ext) = getfilename(name, [ '.' ext ]);
+    EEG.etc.datafiles.(ext) = getfilename(name, name2, [ '.' ext ]);
     EEG.etc.datafiles.datersp  = EEG.etc.datafiles.(ext);
     data = load('-mat',EEG.etc.datafiles.(ext),'times','freqs');
     EEG.etc.timeersp = data.times;
@@ -159,12 +163,16 @@
     end
 end
 
-function name = getfilename(name, ext)
+function name = getfilename(name, name2, ext)
 
 if ~exist([name ext],'file')
-    tmp = dir([name '*' ext ]);
-    name = fullfile(tmp(1).folder,tmp(1).name);
-    warning('couldn''t find a direct match between .set and .daterp\n loading %s',name)
+    if ~exist([name2 ext],'file')
+        tmp = dir([name2 '*' ext ]);
+        name = fullfile(tmp(1).folder,tmp(1).name);
+        warning('couldn''t find a direct match between .set and .daterp, loading %s',name)
+    else
+        name = [name2 ext];
+    end
 else
     name = [name ext];
 end
diff --git a/functions/studyfunc/std_rmdat.m b/functions/studyfunc/std_rmdat.m
index 425448d55..8456d3686 100644
--- a/functions/studyfunc/std_rmdat.m
+++ b/functions/studyfunc/std_rmdat.m
@@ -1,7 +1,7 @@
 % std_rmdat() - remvoe datasets from STUDY
 %
 % Usage: 
-%   >> STUDY = std_rmdat(STUDY, ALLEEG, 'key', val);  
+%   >> [STUDY,ALLEEG] = std_rmdat(STUDY, ALLEEG, 'key', val);  
 %
 % Inputs:
 %   STUDY      - EEGLAB STUDY set
@@ -20,6 +20,12 @@
 %   'rmvarvalues' - {'string' range} remove datasets having variable value
 %                   in the selected range. May also be {'string' 'value'}
 %                   for non-numerical variables.
+%   'keepvarvalues' - {'string' range} keep datasets having variable value
+%                   in the selected range. May also be {'string' 'value'}
+%                   for non-numerical variables.
+%   'subjectind'  - [integer array] keep only specific subject indices in 
+%                   STUDY.subject. To remove or keep specificy subjects, 
+%                   use 'rmvarvalues' and 'keepvarvalues'
 %   'checkeventtype' - [cell|array|string] check event type are present.
 %   'numeventrange' - [min max] range for number of event of type above.
 %                    Default is [1 Inf].
@@ -71,8 +77,10 @@
     'sraterange'      'float'    {} [0 Inf]; ...
     'trialrange'      'float'    {} [1 Inf]; ...
     'checkeventtype'  ''         {} []; ...
-    'numeventrange'    'integer'  {} 1; ...
-    'rmvarvalues'     'cell' {} {} }, 'std_rmdat');
+    'numeventrange'   'integer'  {} 1; ...
+    'subjectind'   'integer'     {} []; ...
+    'rmvarvalues'     'cell'     {} {}; ...
+    'keepvarvalues'   'cell'     {} {} }, 'std_rmdat');
 if isstr(g)
     error(g);
 end
@@ -92,7 +100,17 @@
 rmDats = g.chanrange(1)  > allChans  | allChans  > g.chanrange(2)  | rmDats;
 rmDats = g.trialrange(1) > allTrials | allTrials > g.trialrange(2) | rmDats;
 
+% check subject indices
+% ---------------------
+if ~isempty(g.subjectind)
+    if ~isempty(g.keepvarvalues)
+        error('Cannot use ''subjectind'' and ''keepvarvalues'' at the same time')
+    end
+    g.keepvarvalues = { 'subject' STUDY.subject(g.subjectind) };
+end
+
 % check variable name values
+% --------------------------
 if ~isempty(g.rmvarvalues)
     varName   = g.rmvarvalues{1};
     varValues = g.rmvarvalues{2};
@@ -100,6 +118,33 @@
     if ischar(varValues)
         allValues = cellfun(@num2str, allValues, 'uniformoutput', false);
         rmDats = rmDats | cellfun(@(x)isequal(x, varValues),  allValues);
+    elseif iscell(varValues)
+        for iCell = 1:length(varValues)
+            allValues = cellfun(@num2str, allValues, 'uniformoutput', false);
+            rmDats = rmDats | cellfun(@(x)isequal(x, varValues{iCell}),  allValues);
+        end
+    elseif length(varValues) ~= 2
+        error('When providing nmumerical input for variable selection, there must be 2 values - min and max');
+    else
+        allValues = cellfun(@(x)fastif(ischar(x), str2double(x), x), allValues);
+        rmVals = varValues(1) <= allValues & allValues <= varValues(2); % to deal with NaNs
+        rmDats = rmDats | rmVals;
+    end
+end  
+if ~isempty(g.keepvarvalues)
+    varName   = g.keepvarvalues{1};
+    varValues = g.keepvarvalues{2};
+    allValues = { STUDY.datasetinfo.(varName) };
+    if ischar(varValues)
+        allValues = cellfun(@num2str, allValues, 'uniformoutput', false);
+        rmDats = rmDats | ~cellfun(@(x)isequal(x, varValues),  allValues);
+    elseif iscell(varValues)
+        keepDats = zeros(1, length(allPnts));
+        for iCell = 1:length(varValues)
+            allValues = cellfun(@num2str, allValues, 'uniformoutput', false);
+            keepDats = keepDats | cellfun(@(x)isequal(x, varValues{iCell}),  allValues);
+        end
+        rmDats = rmDats | ~keepDats;
     elseif length(varValues) ~= 2
         error('When providing nmumerical input for variable selection, there must be 2 values - min and max');
     else
@@ -107,9 +152,10 @@
         keepVals = varValues(1) <= allValues & allValues <= varValues(2); % to deal with NaNs
         rmDats = rmDats | ~keepVals;
     end
-end     
+end  
 
 % check event type present
+% --------------------------
 if ~isempty(g.checkeventtype)
     if ischar(g.checkeventtype) g.checkeventtype = { g.checkeventtype }; end
     rmDatEvents = zeros(1, length(ALLEEG));
diff --git a/functions/supportfiles/eeglab_run_this_one_on_osx_or_linux b/functions/supportfiles/eeglab_run_this_one_on_osx_or_linux
old mode 100755
new mode 100644
diff --git a/functions/supportfiles/eeglab_run_this_one_on_windows.bat b/functions/supportfiles/eeglab_run_this_one_on_windows.bat
old mode 100755
new mode 100644
diff --git a/functions/supportfiles/ica_linux b/functions/supportfiles/ica_linux
old mode 100755
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