% TFTOPO  - Generate a figure showing a selected or representative image (e.g., 
%             an ERSP, ITC or ERP-image) from a supplied set of images, one for each 
%             scalp channel. Then, plot TOPOPLOT scalp maps of value distributions 
%             at specified (time, frequency) image points. Else, image the signed 
%             (selected) between-channel STD. Inputs may be outputs of 
%             TIMEF, CROSSF, or ERPIMAGE.
% Usage:
%             >> tftopo(tfdata,times,freqs, 'key1', 'val1', 'key2', val2' ...)
% Inputs:
%   tfdata    = Set of time/freq images, one for each channel. Matrix dims: 
%               (time,freq),(time,freq,chans). Else, (time,freq,chans,subjects) for grand mean 
%               RMS plotting.
%   times     = Vector of image (x-value) times in msec, from TIMEF).
%   freqs     = Vector of image (y-value) frequencies in Hz, from TIMEF).
%
% Optional inputs:
%  'timefreqs' = Array of time/frequency points at which to plot TOPOPLOT maps.
%                Size: (nrows,2), each row given the [ms Hz] location 
%                of one point. Or size (nrows,4), each row given [min_ms
%                max_ms min_hz max_hz].
%  'showchan'  = [integer] Channel number of the tfdata to image. Else 0 to image
%                the (median-signed) RMS values across channels. {default: 0}
%  'chanlocs'  = ['string'|structure] Electrode locations file (for format, see 
%                >> topoplot example) or EEG.chanlocs structure  {default: none}
%  'limits'    = Vector of plotting limits [minms maxms minhz maxhz mincaxis maxcaxis]
%                May omit final vales, or use NaN's to use the input data limits. 
%                Ex: [nan nan -100 400];
%  'signifs'   = (times,freqs) Matrix of significance level(s) (e.g., from TIMEF) 
%                to zero out non-signif. tfdata points. Matrix size must be 
%                         ([1|2], freqs, chans, subjects) 
%                if using the same threshold for all time points at each frequency, or
%                         ([1|2], freqs, times, chans, subjects). 
%                If first dimension is of size 1, data are assumed to contain 
%                positive values only {default: none}
%  'sigthresh' = [K L] After masking time-frequency decomposition using the 'signifs' 
%                array (above), concatenate (time,freq) values for which no more than 
%                K electrodes have non-0 (significant) values. If several subjects, 
%                the second value L is used to concatenate subjects in the same way. 
%                {default: [1 1]}
%  'selchans'  = Channels to include in the TOPOPLOT scalp maps (and image values) 
%                {default: all}
%  'smooth'    = [pow2] magnification and smoothing factor. power of 2 (default: 1}.
%  'mode'      = ['rms'|'ave'] ('rms') return root-mean-square, else ('ave') average 
%                power {default: 'rms' }
%  'logfreq'   = ['on'|'off'|'native'] plot log frequencies {default: 'off'}
%                'native' means that the input is already in log frequencies 
%  'vert'      = [times vector] (in msec) plot vertical dashed lines at specified times 
%                {default: 0}
%  'ylabel'    = [string] label for the ordinate axis. Default is
%                "Frequency (Hz)"
%  'shiftimgs' = [response_times_vector] shift time/frequency images from several 
%                subjects by each subject's response time {default: no shift} 
%  'title'     = [quoted_string] plot title (default: provided_string). 
%  'cbar'      = ['on'|'off'] plot color bar {default: 'on'}
%  'cmode'     = ['common'|'separate'] 'common' or 'separate' color axis for each
%                topoplot {default: 'common'}
%  'plotscalponly' = [x,y] location (e.g. msec,hz). Plot one scalp map only; no
%                time-frequency image.
%  'events'    = [real array] plot event latencies. The number of event
%                must be the same as the number of "frequecies".
%  'verbose'   = ['on'|'off'] comment on operations on command line {default: 'on'}.
%  'axcopy'  = ['on'|'off'] creates a copy of the figure axis and its graphic objects in a new pop-up window 
%                    using the left mouse button {default: 'on'}.. 
%  'denseLogTicks' = ['on'|'off'] creates denser labels on log freuqncy axis {default: 'off'} 
%
% Notes:
%  1) Additional TOPOPLOT optional arguments can be used.
%  2) In the topoplot maps, average power (not masked by significance) is used 
%     instead of the (signed and masked) root-mean-square (RMS) values used in the image.
%  3) If tfdata from several subjects is used (via a 4-D tfdata input), RMS power is first 
%     computed across electrodes, then across the subjects.
%
% Authors: Scott Makeig, Arnaud Delorme & Marissa Westerfield, SCCN/INC/UCSD, La Jolla, 3/01 
%
% See also: TIMEF, TOPOPLOT, SPECTOPO, TIMTOPO, ENVTOPO, CHANGEUNITS

% hidden parameter: 'shiftimgs' = array with one value per subject for shifting in time the
%                                 time/freq images. Had to be inserted in tftopo because
%                                 the shift happen after the smoothing

% Copyright (C) Scott Makeig, Arnaud Delorme & Marissa Westerfield, SCCN/INC/UCSD, 
% La Jolla, 3/01
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are met:
%
% 1. Redistributions of source code must retain the above copyright notice,
% this list of conditions and the following disclaimer.
%
% 2. Redistributions in binary form must reproduce the above copyright notice,
% this list of conditions and the following disclaimer in the documentation
% and/or other materials provided with the distribution.
%
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
% THE POSSIBILITY OF SUCH DAMAGE.

% 01-25-02 reformated help & license -ad 

function tfave = tftopo(tfdata,times,freqs,varargin)
    %timefreqs,showchan,chanlocs,limits,signifs,selchans)
    
LINECOLOR= 'k';
LINEWIDTH = 2;
ZEROLINEWIDTH = 2.8;

if nargin<3
   help tftopo
   return
end
icadefs_flag = 1; 
try
    icadefs;
catch
    warning('icadefs.m can not be located in the path');
    icadefs_flag = 0 ;
end
if ~icadefs_flag
    AXES_FONTSIZE = 10;
    PLOT_LINEWIDTH = 2;
end

% reshape tfdata
% --------------
if length(size(tfdata))==2
    if size(tfdata,1) ~= length(freqs), tfdata = tfdata'; end
    nchans = round(size(tfdata,2)/length(times));
    tfdata = reshape(tfdata, size(tfdata,1), length(times), nchans); 
elseif length(size(tfdata))>=3
    nchans = size(tfdata,3);
else
    help tftopo
    return
end
% for topoplot
if length(size(tfdata)) >= 4
    tfdataori = mean(tfdata,4);
else
    tfdataori = tfdata;
end

% test inputs
% -----------
% 'key' 'val' sequence
fieldlist = { 'chanlocs'      { 'string','struct' }       []       '' ;
              'limits'        'real'     []                        [nan nan nan nan nan nan];
              'logfreq'       'string'   {'on','off','native'}     'off';
              'cbar'          'string'   {'on','off' }             'on';
              'mode'          'string'   { 'ave','rms' }           'rms';
              'title'         'string'   []                        '';
              'verbose'       'string'   {'on','off' }             'on';
              'axcopy'        'string'   {'on','off' }             'on';
              'cmode'         'string'   {'common','separate' }    'common';
              'selchans'      'integer'  [1 nchans]                [1:nchans];
              'shiftimgs'     'real'     []                        [];
              'plotscalponly' 'real'     []                        [];
              'events'        'real'     []                        [];
              'showchan'      'integer'  [0 nchans]                0 ;
              'signifs'       'real'     []                        [];
              'sigthresh'     'integer'  [1 Inf]                   [1 1];
              'smooth'        'real'     [0 Inf]                   1;
              'timefreqs'     'real'     []                        [];
              'ylabel'        'string'   {}                        'Frequency (Hz)';
              'vert'          'real'     [times(1) times(end)]     [min(max(0, times(1)), times(end))];
              'denseLogTicks' 'string'   {'on','off'}               'off'              
              };

[g, varargin] = finputcheck( varargin, fieldlist, 'tftopo', 'ignore');
if ischar(g), error(g); end

% setting more defaults
% ---------------------
if length(times) ~= size(tfdata,2)
   fprintf('tftopo(): tfdata columns must be a multiple of the length of times (%d)\n',...
                 length(times));
   return
end
if length(g.showchan) > 1
    error('tftopo(): showchan must be a single number');
end
if length(g.limits)<1 || isnan(g.limits(1))
  g.limits(1) = times(1);
end
if length(g.limits)<2 || isnan(g.limits(2))
  g.limits(2) = times(end);
end
if length(g.limits)<3 || isnan(g.limits(3))
  g.limits(3) = freqs(1);
end
if length(g.limits)<4 || isnan(g.limits(4))
  g.limits(4) = freqs(end);
end
if length(g.limits)<5 || isnan(g.limits(5)) % default caxis plotting limits
  g.limits(5) = -max(abs(tfdata(:)));
  mincax = g.limits(5); 
end
if length(g.limits)<6 || isnan(g.limits(6))
    defaultlim = 1;
    if exist('mincax')
        g.limits(6) = -mincax; % avoid recalculation
    else
        g.limits(6) = max(abs(tfdata(:)));
    end
else 
    defaultlim = 0;
end
if length(g.sigthresh) == 1
    g.sigthresh(2) = 1;
end
if g.sigthresh(1) > nchans
    error('tftopo(): ''sigthresh'' first number must be less than or equal to the number of channels');
end
if g.sigthresh(2) > size(tfdata,4)
    error('tftopo(): ''sigthresh'' second number must be less than or equal to the number of subjects');
end
if ~isempty(g.signifs)
    if size(g.signifs,1) > 2 || size(g.signifs,2) ~= size(tfdata,1)|| ...
            (size(g.signifs,3) ~= size(tfdata,3) && size(g.signifs,4) ~= size(tfdata,3))
        fprintf('tftopo(): error in ''signifs'' array size not compatible with data size, trying to transpose.\n');
        g.signifs = permute(g.signifs, [2 1 3 4]);
        if size(g.signifs,1) > 2 || size(g.signifs,2) ~= size(tfdata,1)|| ...
            (size(g.signifs,3) ~= size(tfdata,3) && size(g.signifs,4) ~= size(tfdata,3))
            fprintf('tftopo(): ''signifs'' still the wrong size.\n');
            return
        end
    end
end
if length(g.selchans) ~= nchans
     selchans_opt = { 'plotchans' g.selchans };
else selchans_opt = { };
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% process time/freq data points
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if ~isempty(g.timefreqs)
    if size(g.timefreqs,2) == 2
        g.timefreqs(:,3) = g.timefreqs(:,2);
        g.timefreqs(:,4) = g.timefreqs(:,2);
        g.timefreqs(:,2) = g.timefreqs(:,1);
    end
    if isempty(g.chanlocs)
        error('tftopo(): ''chanlocs'' must be defined to plot time/freq points');
    end
    if min(min(g.timefreqs(:,[3 4])))<min(freqs)
        fprintf('tftopo(): selected plotting frequency %g out of range.\n',min(min(g.timefreqs(:,[3 4]))));
        return
    end
    if max(max(g.timefreqs(:,[3 4])))>max(freqs) 
        fprintf('tftopo(): selected plotting frequency %g out of range.\n',max(max(g.timefreqs(:,[3 4]))));
        return
    end
    if min(min(g.timefreqs(:,[1 2])))<min(times) 
        fprintf('tftopo(): selected plotting time %g out of range.\n',min(min(g.timefreqs(:,[1 2]))));
        return
    end
    if max(max(g.timefreqs(:,[1 2])))>max(times) 
        fprintf('tftopo(): selected plotting time %g out of range.\n',max(max(g.timefreqs(:,[1 2]))));
        return
    end

    if 0 % USE USER-SUPPLIED SCALP MAP ORDER. A GOOD ALGORITHM FOR SELECTING
         % g.timefreqs POINT ORDER GIVING MAX UNCROSSED LINES IS DIFFICULT!
        [tmp tfi] = sort(g.timefreqs(:,1)); % sort on times
        tmp = g.timefreqs;
        for t=1:size(g.timefreqs,1)
            g.timefreqs(t,:) = tmp(tfi(t),:);
        end
    end
    
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    % Compute timefreqs point indices
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    tfpoints = size(g.timefreqs,1);
    for f=1:tfpoints
        [~, fi1] = min(abs(freqs-g.timefreqs(f,3)));
        [~, fi2] = min(abs(freqs-g.timefreqs(f,4)));
        freqidx{f}=[fi1:fi2];
    end
    for f=1:tfpoints
        [~, fi1] = min(abs(times-g.timefreqs(f,1)));
        [~, fi2] = min(abs(times-g.timefreqs(f,2)));
        timeidx{f}=[fi1:fi2];
    end
else 
    tfpoints = 0;
end

% only plot one scalp map
% -----------------------
if ~isempty(g.plotscalponly)
    [~, fi] = min(abs(freqs-g.plotscalponly(2)));
    [~, ti] = min(abs(times-g.plotscalponly(1)));
    scalpmap = squeeze(tfdataori(fi, ti, :));   

    if ~isempty(varargin)
        topoplot(scalpmap,g.chanlocs,'electrodes','on', selchans_opt{:}, varargin{:}); 
    else
        topoplot(scalpmap,g.chanlocs,'electrodes','on', selchans_opt{:}); 
    end
    % 'interlimits','electrodes')
    axis square;
    hold on
    tl=title([int2str(g.plotscalponly(2)),' ms, ',int2str(g.plotscalponly(1)),' Hz'],'interpreter','none');
    set(tl,'fontsize',AXES_FONTSIZE+3); % 13
    return;
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Zero out non-significant image features
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
range = g.limits(6)-g.limits(5);
cc = feval(DEFAULT_COLORMAP, 256);
if ~isempty(g.signifs)
    if strcmpi(g.verbose, 'on')
        fprintf('Applying ''signifs'' mask by zeroing non-significant values\n');
    end    
    for subject = 1:size(tfdata,4)
        for elec = 1:size(tfdata,3)
            
            if size(g.signifs,1) == 2
                if ndims(g.signifs) > ndims(tfdata)
                    tmpfilt = (tfdata(:,:,elec,subject) >= squeeze(g.signifs(2,:,:,elec, subject))') | ...
                              (tfdata(:,:,elec,subject) <= squeeze(g.signifs(1,:,:,elec, subject))');
                else
                    tmpfilt = (tfdata(:,:,elec,subject) >= repmat(g.signifs(2,:,elec, subject)', [1 size(tfdata,2)])) | ...
                              (tfdata(:,:,elec,subject) <= repmat(g.signifs(1,:,elec, subject)', [1 size(tfdata,2)]));
                end
            else
                if ndims(g.signifs) > ndims(tfdata)
                    tmpfilt = (tfdata(:,:,elec,subject) >= squeeze(g.signifs(1,:,:,elec, subject))');
                else
                    tmpfilt = (tfdata(:,:,elec,subject) >= repmat(g.signifs(1,:,elec, subject)', [1 size(tfdata,2)]));
                end
            end        
            tfdata(:,:,elec,subject) = tfdata(:,:,elec,subject) .* tmpfilt;
        end
    end
end

%%%%%%%%%%%%%%%%
% magnify inputs
%%%%%%%%%%%%%%%%
if g.smooth ~= 1
    if strcmpi(g.verbose, 'on')
        fprintf('Smoothing...\n');
    end    
    for index = 1:round(log2(g.smooth))
        [tfdata, times, freqs] = magnifytwice(tfdata, times, freqs);
    end
end

%%%%%%%%%%%%%%%%%%%%%%%%
% Shift time/freq images
%%%%%%%%%%%%%%%%%%%%%%%%
if ~isempty(g.shiftimgs)
    timestep = times(2) - times(1);
    for S = 1:size(tfdata,4)
        nbsteps = round(g.shiftimgs(S)/timestep);
        if strcmpi(g.verbose, 'on')
            fprintf('Shifing images of subect %d by %3.3f ms or %d time steps\n', S, g.shiftimgs(S), nbsteps);
        end        
        if nbsteps < 0,  tfdata(:,-nbsteps+1:end,:,S) = tfdata(:,1:end+nbsteps,:,S);
        else             tfdata(:,1:end-nbsteps,:,S)  = tfdata(:,nbsteps+1:end,:,S);
        end
    end
end

%%%%%%%%%%%%%%%%%%%%%%%%%
% Adjust plotting limits
%%%%%%%%%%%%%%%%%%%%%%%%%
[~, minfreqidx] = min(abs(g.limits(3)-freqs)); % adjust min frequency
 g.limits(3) = freqs(minfreqidx);
[~, maxfreqidx] = min(abs(g.limits(4)-freqs)); % adjust max frequency
 g.limits(4) = freqs(maxfreqidx);

[~, mintimeidx] = min(abs(g.limits(1)-times)); % adjust min time
 g.limits(1) = times(mintimeidx);
[~, maxtimeidx] = min(abs(g.limits(2)-times)); % adjust max time
 g.limits(2) = times(maxtimeidx);

mmidx = [mintimeidx maxtimeidx minfreqidx maxfreqidx];

%colormap('jet');
%c = colormap;
%cc = zeros(256,3);
%if size(c,1)==64
%    for i=1:3
%       cc(:,i) = interp(c(:,i),4);
%    end
%else
%    cc=c;
%nd
%cc(find(cc<0))=0;
%cc(find(cc>1))=1;

%if exist('g.signif')
%  minnull = round(256*(g.signif(1)-g.limits(5))/range);
%  if minnull<1
%    minnull = 1;
%  end
%  maxnull = round(256*(g.signif(2)-g.limits(5))/range);
%  if maxnull>256
%    maxnull = 256;
%  end
%  nullrange = minnull:maxnull;
%  cc(nullrange,:) = repmat(cc(128,:),length(nullrange),1);
%end
  
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plot tfdata image for specified channel or selchans STD
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
axis off;
colormap(cc);
curax = gca; % current plot axes to plot into
if tfpoints ~= 0
    plotdim = max(1+floor(tfpoints/2),4); % number of topoplots on top of image
    imgax = sbplot(plotdim,plotdim,[plotdim*(plotdim-1)+1,2*plotdim-1],'ax',curax);
else
    imgax = curax;
end
tftimes = mmidx(1):mmidx(2);
tffreqs = mmidx(3):mmidx(4);
if g.showchan>0 % -> image showchan data
    tfave = tfdata(tffreqs, tftimes,g.showchan);
else % g.showchan==0 -> image std() of selchans
    tfdat   = tfdata(tffreqs,tftimes,g.selchans,:);

    % average across electrodes
    if strcmpi(g.verbose, 'on')
        if strcmpi( g.mode, 'rms')
            fprintf('Applying RMS across channels (mask for at least %d non-zeros values at each time/freq)\n', g.sigthresh(1));
        else
            fprintf('Computing average across channels (mask for at least %d non-zeros values at each time/freq)\n', g.sigthresh(1));
        end
    end    
    tfdat = avedata(tfdat, 3, g.sigthresh(1), g.mode);

    % if several subject, first (RMS) averaging across subjects
    if size(tfdata,4) > 1
        if strcmpi(g.verbose, 'on')
            if strcmpi( g.mode, 'rms')
                fprintf('Applying RMS across subjects (mask for at least %d non-zeros values at each time/freq)\n', g.sigthresh(2));
            else
                fprintf('Computing average across channels (mask for at least %d non-zeros values at each time/freq)\n', g.sigthresh(2));
            end
        end        
        tfdat = avedata(tfdat, 4, g.sigthresh(2), g.mode);
    end
    tfave = tfdat;
    
    if defaultlim
        g.limits(6) = max(max(abs(tfave)));
        g.limits(5) = -g.limits(6); % make symmetrical
    end
end

if ~isreal(tfave(1)), tfave = abs(tfave); end
if strcmpi(g.logfreq, 'on')
    logimagesc(times(tftimes),freqs(tffreqs),tfave);
    axis([g.limits(1) g.limits(2) log(g.limits(3)), log(g.limits(4))]);
elseif strcmpi(g.logfreq, 'native')
    imagesc(times(tftimes),log(freqs(tffreqs)),tfave);
    axis([g.limits(1:2) log(g.limits(3:4))]);
    
    if g.denseLogTicks
        minTick = min(ylim);
        maxTick = max(ylim);
        set(gca,'ytick',linspace(minTick, maxTick,50));
    end
    
    tmpval = get(gca,'yticklabel');
    if iscell(tmpval)
        ft = cellfun(@str2double, tmpval(:));
    else
        % MATLAB version <  8.04
        ft = str2num(tmpval);           
    end
        
    ft = exp(1).^ft;
    ft = unique_bc(round(ft));
    ftick = get(gca,'ytick');
    ftick = exp(1).^ftick;
    ftick = unique_bc(round(ftick));
    ftick = log(ftick);
    inds = unique_bc(round(exp(linspace(log(1), log(length(ft))))));
    set(gca,'ytick',ftick(inds(1:2:end)),'yticklabel', num2str(ft(inds(1:2:end))));
else
    imagesc(times(tftimes),freqs(tffreqs),tfave);
    axis([g.limits(1:4)]);
end
if length(unique(g.limits(5:6))) > 1
    caxis([g.limits(5:6)]);
end
hold on;

%%%%%%%%%%%%%%%%%%%%%%%%%%
% Title and vertical lines
%%%%%%%%%%%%%%%%%%%%%%%%%%
axes(imgax)
xl=xlabel('Time (ms)');
set(xl,'fontsize',AXES_FONTSIZE+2);%12
set(gca,'yaxislocation','left')
if g.showchan>0
   % tl=title(['Channel ',int2str(g.showchan)]);
   % set(tl,'fontsize',14);
else
    if isempty(g.title)
        if strcmpi(g.mode, 'rms')
            tl=title(['Signed channel rms']);
        else
            tl=title(['Signed channel average']);
        end
    else
        tl = title(g.title,'interpreter','none');
    end
  set(tl,'fontsize',AXES_FONTSIZE + 2); %12
  set(tl,'fontweigh','normal');
end

yl=ylabel(g.ylabel);
set(yl,'fontsize',AXES_FONTSIZE + 2);  %12

set(gca,'fontsize',AXES_FONTSIZE + 2); %12
set(gca,'ydir','normal');
set(gca, 'userdata', { 'Time (ms)' g.ylabel });

for indtime = g.vert
    tmpy = ylim;
    htmp = plot([indtime indtime],tmpy,[LINECOLOR ':']);
    set(htmp,'linewidth',PLOT_LINEWIDTH)
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plot topoplot maps at specified timefreqs points
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if ~isempty(g.events)
    tmpy = ylim;
    yvals = linspace(tmpy(1), tmpy(2), length(g.events));
    plot(g.events, yvals, 'k', 'linewidth', 2);
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plot topoplot maps at specified timefreqs points
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if ~isempty(g.timefreqs)
    wholeax  = sbplot(1,1,1,'ax',curax);
    topoaxes = zeros(1,tfpoints);
    for n=1:tfpoints
        if n<=plotdim
            topoaxes(n)=sbplot(plotdim,plotdim,n,'ax',curax);
        else
            topoaxes(n)=sbplot(plotdim,plotdim,plotdim*(n+1-plotdim),'ax',curax);
        end
        
        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        % Plot connecting lines using changeunits()
        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        tmptimefreq = [ mean(g.timefreqs(n,[1 2])) mean(g.timefreqs(n,[3 4])) ];
        if strcmpi(g.logfreq, 'off')
            from = changeunits(tmptimefreq,imgax,wholeax);
        else  
            from = changeunits([tmptimefreq(1) log(tmptimefreq(2))],imgax,wholeax);        
        end
        to   = changeunits([0.5,0.5],topoaxes(n),wholeax);
        axes(wholeax);
        plot([from(1) to(1)],[from(2) to(2)],LINECOLOR,'linewidth',LINEWIDTH);
        hold on
        mk=plot(from(1),from(2),[LINECOLOR 'o'],'markersize',9);
        set(mk,'markerfacecolor',LINECOLOR);
        axis([0 1 0 1]);
        axis off;
    end
    
    endcaxis = 0;
    for n=1:tfpoints
        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        % Plot scalp map using topoplot()
        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        axes(topoaxes(n));
        scalpmap = squeeze(mean(mean(tfdataori(freqidx{n},timeidx{n},:),1),2));   

        %topoplot(scalpmap,g.chanlocs,'maplimits',[g.limits(5) g.limits(6)],...
        %            'electrodes','on');

        if ~isempty(varargin)
            topoplot(scalpmap,g.chanlocs,'electrodes','on', selchans_opt{:}, varargin{:}); 
        else
            topoplot(scalpmap,g.chanlocs,'electrodes','on', selchans_opt{:}); 
        end
        % 'interlimits','electrodes')
        axis square;
        hold on
        if g.timefreqs(n,1) == g.timefreqs(n,2)
            tl=title([int2str(g.timefreqs(n,1)),' ms, ',int2str(g.timefreqs(n,3)),' Hz'],'interpreter','none');
        else
            tl=title([int2str(g.timefreqs(n,1)) '-' int2str(g.timefreqs(n,2)) 'ms, ' ...
                int2str(g.timefreqs(n,3)) '-' int2str(g.timefreqs(n,4)) ' Hz'],'interpreter','none');
        end
        set(tl,'fontsize',AXES_FONTSIZE + 3); %13
        endcaxis = max(endcaxis,max(abs(caxis)));
        %caxis([g.limits(5:6)]);
    end
    if strcmpi(g.cmode, 'common')
        for n=1:tfpoints
            axes(topoaxes(n));
            caxis([-endcaxis endcaxis]);
            if n==tfpoints && strcmpi(g.cbar, 'on') % && (mod(tfpoints,2)~=0) % image color bar by last map
                cb=cbar;
                pos = get(cb,'position');
                set(cb,'position',[pos(1:2) 0.023 pos(4)]);
            end
            drawnow
        end
    end
end

if g.showchan>0 && ~isempty(g.chanlocs)
     sbplot(4,4,1,'ax',imgax);
     topoplot(g.showchan,g.chanlocs,'electrodes','off', ...
                  'style', 'blank', 'emarkersize1chan', 10 );
     axis('square');
end
if strcmpi(g.axcopy, 'on')
    com = 'set(gcf, ''''units'''', ''''pixels''''); tmppos = get(gcf, ''''position''''); set(gcf, ''''position'''', [tmppos(1) tmppos(2) 560 440]); clear tmppos; axis on;';
    if strcmpi(g.logfreq, 'native')
%         com = [ 'lb = get(gca,''''yticklabel'''');' ... 
%                 'if iscell(lb) lb = strvcat(lb); end;' ...
%                 'ft = str2num(lb);' ...
%                 'ft = exp(1).^ft;' ...
%                 'ft = unique_bc(round(ft));' ...
%                 'ftick = get(gca,''''ytick'''');' ...
%                 'ftick = exp(1).^ftick;' ...
%                 'ftick = unique_bc(round(log(ftick)));' ...
%                 'set(gca,''''ytick'''',ftick);' ...
%                 'set(gca,''''yticklabel'''', num2str(ft)); axis on;' ];
        axcopy(gcf, com); % turn on axis copying on mouse click 
    else
        axcopy(gca, com); % turn on axis copying on mouse click 
    end
end

%%%%%%%%%%%%%%%%%%%%%%%% embedded functions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function tfdat = avedata(tfdat, dim, thresh, mode)
    tfsign  = sign(mean(tfdat,dim));
    tfmask  = sum(tfdat ~= 0,dim) >= thresh;
    if strcmpi(mode, 'rms')
        tfdat   = tfmask.*tfsign.*sqrt(mean(tfdat.*tfdat,dim)); % std of all channels
    else
        tfdat   = tfmask.*mean(tfdat,dim); % std of all channels
    end
    

function [tfdatnew, times, freqs] = magnifytwice(tfdat, times, freqs);
    indicetimes = [floor(1:0.5:size(tfdat,1)) size(tfdat,1)];
    indicefreqs = [floor(1:0.5:size(tfdat,2)) size(tfdat,2)];
    tfdatnew = tfdat(indicetimes, indicefreqs, :, :);
    times = linspace(times(1), times(end), size(tfdat,2)*2);
    freqs = linspace(freqs(1), freqs(end), size(tfdat,1)*2);
    
    % smoothing
    gauss2 = gauss2d(3,3); 
    for S = 1:size(tfdat,4)
        for elec = 1:size(tfdat,3)
            tfdatnew(:,:,elec,S) = conv2(tfdatnew(:,:,elec,S), gauss2, 'same');
        end
    end
    %tfdatnew = convn(tfdatnew, gauss2, 'same'); % is equivalent to the loop for slowlier
