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wave_clus.m
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wave_clus.m
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function varargout = wave_clus(varargin)
% WAVE_CLUS M-file for wave_clus.fig
% WAVE_CLUS, by itself, creates a new WAVE_CLUS or raises the existing
% singleton*.
%
% H = WAVE_CLUS returns the handle to a new WAVE_CLUS or the handle to
% the existing singleton*.
%
% WAVE_CLUS('Property','Value',...) creates a new WAVE_CLUS using the
% given property value pairs. Unrecognized properties are passed via
% varargin to wave_clus_OpeningFcn. This calling syntax produces a
% warning when there is an existing singleton*.
%
% WAVE_CLUS('CALLBACK') and WAVE_CLUS('CALLBACK',hObject,...) call the
% local function named CALLBACK in WAVE_CLUS.M with the given input
% arguments.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help wave_clus
% Last Modified by GUIDE v2.5 14-Jan-2009 10:01:11
% JMG101208
% USER_DATA DEFINITIONS
% USER_DATA{1} = par;
% USER_DATA{2} = spikes;
% USER_DATA{3} = index;
% USER_DATA{4} = clu;
% USER_DATA{5} = tree;
% USER_DATA{7} = inspk;
% USER_DATA{6} = classes(:)'
% USER_DATA{8} = temp
% USER_DATA{9} = classes(:)', backup for non-forced classes
% USER_DATA{10} = clustering_results
% USER_DATA{11} = clustering_results_bk
% USER_DATA{12} = ipermut, indexes of the previously permuted spikes for clustering taking random number of points
% USER_DATA{13} = forced, boolean vector for forced spikes,
% USER_DATA{14} = forced_bk, backup boolean vector for forced spikes,
% USER_DATA{15} = rejected, boolean vector for rejected spikes. Vector only used in develop mode.
% USER_DATA{16} = rejected_bk, backup boolean vector for rejected spikes. Vector only used in develop mode.
% USER_DATA{17} - USER_DATA{19}, for future changes
% USER_DATA{20} - USER_DATA{42}, fix clusters
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @wave_clus_OpeningFcn, ...
'gui_OutputFcn', @wave_clus_OutputFcn, ...
'gui_LayoutFcn', [], ...
'gui_Callback', []);
if nargin>1 && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
function Close_requestFcn(hObject, handles)
%wave_clus('Close_requestFcn',gcbo,guidata(gcbo))
aux = findobj(0, 'type', 'figure','tag','wave_clus_aux');
if ~isempty(aux)
delete(aux)
end
for i=1:5
aux = findobj(0, 'type', 'figure','tag',['wave_clus_aux' num2str(i)]);
if ~isempty(aux)
delete(aux)
end
end
delete(hObject)
% --- Executes just before wave_clus is made visible.
function wave_clus_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin unrecognized PropertyName/PropertyValue pairs from the
% command line (see VARARGIN)
% Choose default command line output for wave_clus
handles.output = hObject;
set(handles.isi1_accept_button,'value',1);
set(handles.isi2_accept_button,'value',1);
set(handles.isi3_accept_button,'value',1);
set(handles.spike_shapes_button,'value',1);
set(handles.plot_all_button,'value',1);
set(handles.plot_average_button,'value',0);
set(handles.fix1_button,'value',0);
set(handles.fix2_button,'value',0);
set(handles.fix3_button,'value',0);
% Update handles structure
guidata(hObject, handles);
if nargin>3 && ischar(varargin{1})
load_data_button_Callback('w_arg',varargin{1},handles)
end
% UIWAIT makes wave_clus wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = wave_clus_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
clus_colors = [[0.0 0.0 1.0];[1.0 0.0 0.0];[0.0 0.5 0.0];[0.620690 0.0 0.0];[0.413793 0.0 0.758621];[0.965517 0.517241 0.034483];
[0.448276 0.379310 0.241379];[1.0 0.103448 0.724138];[0.545 0.545 0.545];[0.586207 0.827586 0.310345];
[0.965517 0.620690 0.862069];[0.620690 0.758621 1.]];
set(0,'DefaultAxesColorOrder',clus_colors)
% --- Executes on button press in load_data_button.
function load_data_button_Callback(hObject, eventdata, handles)
% select file
if ischar(eventdata)
if isempty(fileparts(eventdata))
filename = eventdata;
pathname = [pwd filesep];
else
[pathname filename ext]=fileparts(eventdata);
pathname = [pathname filesep];
filename = [filename ext];
end
hObject = handles.load_data_button;
else
[filename, pathname] = uigetfile('*.*','Select file'); % Use only the supported extensions can bring case-sensitive related problems.
end
% if any file was selected, cancel the loading
if ~ischar(pathname)
return
end
set(handles.file_name,'string',['Loading: ' pathname filename]); drawnow
cla(handles.cont_data);
clear functions % reset functions, force to reload set_parameters next
handles.par = set_parameters();
cd(pathname);
handles.par.filename = filename;
for i = 1:3
si = num2str(i);
set(eval(['handles.isi' si '_accept_button']),'value',1);
set(eval(['handles.isi' si '_reject_button']),'value',0);
set(eval(['handles.fix' si '_button']),'value',0);
eval(['set(handles.isi' si '_nbins,''string'',handles.par.nbins);']);
eval(['set(handles.isi' si '_bin_step,''string'',handles.par.bin_step);']);
end
set(handles.isi0_nbins,'string',handles.par.nbins);
set(handles.isi0_bin_step,'string',handles.par.bin_step);
% Sets to zero fix buttons from aux figures
for i=4:33
eval(['handles.par.fix' num2str(i) '=0;'])
end
for i =0:33
si = num2str(i);
eval(['handles.par.nbins' si ' = handles.par.nbins;']); % # of bins for the ISI histograms
eval(['handles.par.bin_step' si ' = handles.par.bin_step;']); % percentage number of bins to plot
end
data_handler = readInData(handles.par);
handles.par = data_handler.par;
handles.par.fname_in = 'tmp_data_wc'; % temporary filename used as input for SPC
handles.par.fname = ['data_' data_handler.nick_name];
handles.par.nick_name = data_handler.nick_name;
handles.par.fnamesave = handles.par.fname; %filename if "save clusters" button is pressed
handles.par.fnamespc = 'data_wc';
handles.par.spikes_file = data_handler.spikes_file;
handles.par = data_handler.update_par(handles.par);
check_WC_params(handles.par)
if data_handler.with_results %data have _times files
[clu, tree, spikes, index, inspk, ipermut, classes, forced,temp] = data_handler.load_results();
rejected = data_handler.load_rejected();
handles.setclus = 1;
if isempty(ipermut)
handles.par.permut = 'n';
end
else
if data_handler.with_spikes %data have some time of _spikes files
[spikes, index] = data_handler.load_spikes();
if ~data_handler.with_wc_spikes
[spikes] = spike_alignment(spikes,handles.par);
end
else
set(handles.file_name,'string','Detecting spikes ...'); drawnow
index = [];
spikes = [];
for n = 1:data_handler.max_segments
x = data_handler.get_segment();
[new_spikes, temp_aux_th, new_index] = amp_detect(x, handles.par);
index = [index data_handler.index2ts(new_index)]; %new_index to ms
spikes = [spikes; new_spikes];
end
handles.par.detection_date = datestr(now);
end
if size(spikes,1) < 15
ME = MException('MyComponent:notEnoughSpikes', 'Less than 15 spikes detected');
throw(ME)
end
set(handles.file_name,'string','Calculating spike features ...'); drawnow
[inspk] = wave_features(spikes,handles.par); %Extract spike features.
handles.par.inputs = size(inspk,2); % number of inputs to the clustering
if handles.par.permut == 'y'
if handles.par.match == 'y';
naux = min(handles.par.max_spk,size(inspk,1));
ipermut = randperm(length(inspk));
ipermut(naux+1:end) = [];
else
ipermut = randperm(length(inspk));
end
inspk_aux = inspk(ipermut,:);
else
if handles.par.match == 'y';
naux = min(handles.par.max_spk,size(inspk,1));
inspk_aux = inspk(1:naux,:);
else
inspk_aux = inspk;
end
end
%Interaction with SPC
set(handles.file_name,'string','Running SPC ...'); drawnow
fname_in = handles.par.fname_in;
save(fname_in,'inspk_aux','-ascii'); %Input file for SPC
[clu,tree] = run_cluster(handles.par);
forced = false(size(spikes,1) ,1);
rejected = false(1, size(spikes,1));
handles.setclus = 2; %uses min cluster size but doesn't reset force
end
handles.par.file_name_to_show = [pathname filename];
if (data_handler.with_raw || data_handler.with_psegment) && handles.par.cont_segment %raw exists
[xd_sub, sr_sub] = data_handler.get_signal_sample();
Plot_continuous_data(xd_sub, sr_sub, handles); drawnow
clear xd_sub
end
%Fixing lost elements of clu . Skiped elements will be class -1 because in
%all the uses of clu are like: clu(temp,3:end)+1
if handles.par.permut == 'y' && ~isempty(clu)
if isempty(ipermut) %load from old result without ipermut or par, but par.permut=='y'
naux = size(clu,2)-2;
ipermut = 1:naux;
end
clu_aux = zeros(size(clu,1),2 + size(spikes,1)) -1; %when update classes from clu, not selected elements go to cluster 0
clu_aux(:,ipermut+2) = clu(:,(1:length(ipermut))+2);
clu_aux(:,1:2) = clu(:,1:2);
clu = clu_aux;
clear clu_aux
elseif ~isempty(clu)
naux = size(clu,2)-2;
clu_aux = zeros(size(clu,1),2 + size(spikes,1)) -1; %when update classes from clu, not selected elements go to cluster 0
clu_aux(:,(1:naux)+2) = clu(:,(1:naux)+2);
clu_aux(:,1:2) = clu(:,1:2);
clu = clu_aux;
clear clu_aux
end
USER_DATA = get(handles.wave_clus_figure,'userdata');
USER_DATA{1} = handles.par;
USER_DATA{2} = spikes;
USER_DATA{3} = index;
USER_DATA{4} = clu;
USER_DATA{5} = tree;
USER_DATA{7} = inspk;
if exist('ipermut','var') && ~isempty(ipermut)
USER_DATA{12} = ipermut;
end
USER_DATA{13} = forced;
USER_DATA{14} = forced;
USER_DATA{15} = rejected; %the clusters numbers are sorted
USER_DATA{16} = rejected; %the clusters numbers are sorted
set(handles.min_clus_edit,'string',num2str(handles.par.min_clus));
setappdata(handles.temperature_plot,'auto_sort_info',[]);
if data_handler.with_gui_status
[saved_gui_status, current_temp,auto_sort_info] = data_handler.get_gui_status();
setappdata(handles.temperature_plot,'auto_sort_info',auto_sort_info);
clustering_results = zeros(length(classes),4);
clustering_results(:,1) = repmat(current_temp,length(classes),1);
for i=1:max(classes)
clustering_results(classes==i,3) = temp(i);
end
clustering_results(:,2) = classes'; % GUI classes
clustering_results(:,4) = saved_gui_status;
handles.undo = 1;
elseif data_handler.with_results
current_temp = 1;
clustering_results(:,1) = repmat(current_temp,length(classes),1); % GUI temperatures
clustering_results(:,2) = classes'; % GUI classes
if exist('temp','var')
for i=1:max(classes)
clustering_results(classes==i,3) = temp(i);
end
else
for i=1:max(classes)
clustering_results(classes==i,3) = current_temp;
end
end
clustering_results(:,4) = classes'; % original classes
handles.undo = 1;
else
%Selects temperature.
[clust_num temp auto_sort] = find_temp(tree,clu, handles.par);
current_temp = max(temp);
classes = zeros(1,size(clu,2)-2);
for c =1: length(clust_num)
aux = clu(temp(c),3:end) +1 == clust_num(c);
classes(aux) = c;
end
if handles.par.permut == 'n'
classes = [classes zeros(1,max(size(spikes,1)-size(clu,2)-2,0))];
end
Temp = [];
% Classes should be consecutive numbers
classes_names = nonzeros(sort(unique(classes)));
for i= 1:length(classes_names)
c = classes_names(i);
if c~= i
classes(classes == c) = i;
end
Temp(i) = temp(i);
end
setappdata(handles.temperature_plot,'auto_sort_info',auto_sort);
% definition of clustering_results
clustering_results = [];
clustering_results(:,1) = repmat(current_temp,length(classes),1); % GUI temperatures
clustering_results(:,2) = classes'; % GUI classes
for i=1:max(classes)
clustering_results(classes==i,3) = temp(i);
clustering_results(classes==i,4) = clust_num(i); % original classes
end
handles.undo = 0;
end
if data_handler.with_results && ~ data_handler.with_spc
temp = -1; % This will work as a flag for not drawing the temperature diagram
cla(handles.temperature_plot,'reset');
end
clustering_results(:,5) = repmat(handles.par.min_clus,length(classes),1); % minimum number of clusters
USER_DATA{6} = classes(:)';
if exist('current_temp','var')
USER_DATA{8} = current_temp;
else
USER_DATA{8} = temp(1);
end
USER_DATA{10} = clustering_results;
USER_DATA{11} = clustering_results;
handles.force = 0;
handles.merge = 0;
handles.minclus = handles.par.min_clus;
set(handles.wave_clus_figure,'userdata',USER_DATA);
clear clustering_results classes rejected spikes
% mark clusters when new data is loaded
guidata(hObject, handles); %this is need for plot the isi histograms
plot_spikes(handles); %This function edits userdata
USER_DATA = get(handles.wave_clus_figure,'userdata');
set(handles.wave_clus_figure,'userdata',USER_DATA);
if isfield(handles,'force_unforce_button') && (nnz(forced)>0)
set(handles.force_unforce_button,'Value',1)
set(handles.force_unforce_button,'String','FORCED')
%set(handles.change_temperature_button,'enable','off');
elseif isfield(handles,'force_unforce_button')
set(handles.force_unforce_button,'Value',0)
set(handles.force_unforce_button,'String','Force')
end
if isfield(handles,'edit_max_force_dist')
set(handles.edit_max_force_dist,'string',num2str(handles.par.template_sdnum));
end
set(handles.file_name,'string',handles.par.file_name_to_show);
% --- Executes on button press in change_temperature_button.
function change_temperature_button_Callback(hObject, eventdata, handles)
%gets the mouse input
if exist('impoint','class')
point = impoint(handles.temperature_plot);
if isempty(point)
return
end
pos = point.getPosition();
temp = pos(1);
aux = pos(2);
point.delete()
else
[temp,aux,button] = ginput(1);
if button == 3
return
end
end
if temp <= handles.par.mintemp+0.5*handles.par.tempstep
temp = 1;
elseif temp>handles.par.maxtemp
temp = floor((handles.par.maxtemp-handles.par.mintemp)/handles.par.tempstep);
else
temp = round((temp-handles.par.mintemp)/handles.par.tempstep); %temp from value to index
end
min_clus = round(aux);
set(handles.min_clus_edit,'string',num2str(min_clus));
USER_DATA = get(handles.wave_clus_figure,'userdata');
rejected = USER_DATA{15};
USER_DATA{16} = rejected;
clu = USER_DATA{4};
classes = clu(temp, 3:end) + 1;
classes(rejected) = 0;
USER_DATA{6} = classes(:)';
USER_DATA{8} = temp;
handles.minclus = min_clus;
set(handles.wave_clus_figure,'userdata',USER_DATA);
handles.setclus = 0;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.new_spc_classes = classes(:)';
plot_spikes(handles);
if isfield(handles,'force_unforce_button')
set(handles.force_unforce_button,'Value',0)
set(handles.force_unforce_button,'String','Force')
end
% --- Change min_clus_edit
function min_clus_edit_Callback(hObject, eventdata, handles)
USER_DATA = get(handles.wave_clus_figure,'userdata');
min_clus = str2num(get(hObject, 'String'));
clu = USER_DATA{4};
temp = USER_DATA{8};
classes = clu(temp,3:end)+1;
USER_DATA{6} = classes(:)';
USER_DATA{16} = USER_DATA{15};
clustering_results = USER_DATA{10};
clustering_results(:,5) = min_clus;
set(handles.wave_clus_figure,'userdata',USER_DATA);
handles.setclus = 0;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.minclus = min_clus;
plot_spikes(handles);
% --- Executes on button press in save_clusters_button.
function save_clusters_button_Callback(hObject, eventdata, handles, developer_mode)
USER_DATA = get(handles.wave_clus_figure,'userdata');
classes = USER_DATA{6};
clustering_results = USER_DATA{10};
rejected = USER_DATA{15};
USER_DATA{16} = rejected; %update bk of rejected spikes
USER_DATA{15} = false(size(rejected));
set(handles.wave_clus_figure,'userdata',USER_DATA);
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
plot_spikes(handles)
USER_DATA = get(handles.wave_clus_figure,'userdata');
spikes = USER_DATA{2};
used_par = USER_DATA{1};
index = USER_DATA{3};
classes = USER_DATA{6};
gui_classes_data = USER_DATA{10};
% Classes should be consecutive numbers
classes_names = nonzeros(sort(unique(classes)));
for i= 1:length(classes_names)
c = classes_names(i);
if c~= i
classes(classes == c) = i;
end
end
%Saves clusters
cluster_class = zeros(size(spikes,1),2);
cluster_class(:,1) = classes(:);
cluster_class(:,2) = USER_DATA{3}';
outfile=['times_' used_par.nick_name];
par = struct;
par = update_parameters(par,used_par,'relevant');
par = update_parameters(par,used_par,'batch_plot');
par.sorting_date = datestr(now);
gui_status = struct();
gui_status.current_temp = gui_classes_data(1,1);
gui_status.original_classes = gui_classes_data(1:end,4);
gui_status.auto_sort_info = getappdata(handles.temperature_plot,'auto_sort_info');
Temp = zeros(length(classes_names),1);
for i = 1:length(classes_names)
Temp(i) = gui_classes_data(find(classes==i,1,'first'),3);
end
forced = USER_DATA{13};
var_list = 'cluster_class'',''par'',''gui_status'', ''forced'', ''Temp''';
if ~isempty(USER_DATA{7})
inspk = USER_DATA{7};
var_list = strcat(var_list , ' ,''inspk''');
end
if ~isempty(USER_DATA{12})
ipermut = USER_DATA{12};
var_list = strcat(var_list , ' ,''ipermut''');
end
if developer_mode
var_list = strcat(var_list , ' ,''rejected''');
end
if isempty(handles.par.spikes_file)
var_list = strcat(var_list , ' ,''spikes''');
else
spikes_file = handles.par.spikes_file;
var_list = strcat(var_list , ' ,''spikes_file''');
end
ver = '';
currentver = version;
if currentver(1) >= 7
ver = ',''-v6''';
end
try
eval(['save( ''' outfile ''',''' var_list '' ver ');']);
catch
eval(['save( ''' outfile ''',''' var_list ',''-v7.3'');']);
end
if exist([handles.par.fnamespc '.dg_01.lab'],'file')
movefile([handles.par.fnamespc '.dg_01.lab'], [handles.par.fnamesave '.dg_01.lab'], 'f');
movefile([handles.par.fnamespc '.dg_01'], [handles.par.fnamesave '.dg_01'], 'f');
end
%Save figures
fig_names = {'figure','aux','aux1','aux2','aux3','aux4','aux5'};
file_names = {'','a','b','c','d','e','f'};
h_figs = get(0,'children');
for i=1:length(fig_names)
h_fig = findobj(h_figs,'tag',['wave_clus_' fig_names{i}]);
new_file_name = ['fig2print_' outfile(7:end) file_names{i} '.png'];
if ~isempty(h_fig)
figure(h_fig); set(gcf, 'PaperUnits', 'inches', 'PaperType', 'A4', 'PaperPositionMode', 'auto','PaperOrientation','portrait');
print(h_fig,'-dpng',new_file_name,'-r300');
else
if exist(new_file_name, 'file')==2
delete(new_file_name);
end
end
end
set(hObject,'value',0);
% --- Executes on button press in set_parameters_button.
function set_parameters_button_Callback(hObject, eventdata, handles)
%helpdlg('Check the set_parameters files in the subdirectory
%Wave_clus\Parameters_files');
set_parameters_ui()
function force_unforce_button_Callback(hObject, eventdata, handles)
USER_DATA = get(handles.wave_clus_figure,'userdata');
par = USER_DATA{1};
classes = USER_DATA{6};
forced = USER_DATA{13};
USER_DATA{14} = forced; %save forced in forced_bk
rejected = USER_DATA{15};
USER_DATA{16} = USER_DATA{15}; %update bk of rejected spikes
button_state = get(hObject,'Value');
if button_state == get(hObject,'Max')
spikes = USER_DATA{2};
inspk = USER_DATA{7};
USER_DATA{16} = rejected;
if get(handles.fix1_button,'value') ==1
fix_class = USER_DATA{20}';
classes(fix_class) = -1;
end
if get(handles.fix2_button,'value') ==1
fix_class = USER_DATA{21}';
classes(fix_class) = -1;
end
if get(handles.fix3_button,'value') ==1
fix_class = USER_DATA{22}';
classes(fix_class )= -1;
end
% Get fixed clusters from aux figures
for i=4:33
eval(['fixx = par.fix' num2str(i) ';']);
if fixx == 1
fix_class = USER_DATA{22+i-3}';
classes(fix_class) = -1;
end
end
to_force = (~rejected)' & (classes==0);
switch par.force_feature
case 'spk'
f_in = spikes(classes>0,:);
f_out = spikes(to_force,:);
case 'wav'
if isempty(inspk)
set(handles.file_name,'string','Calculating spike features ...');
[inspk] = wave_features(spikes,par); % Extract spike features.
USER_DATA{7} = inspk;
end
f_in = inspk(classes>0,:);
f_out = inspk(to_force,:);
end
class_in = classes(classes>0);
class_out = force_membership_wc(f_in, class_in, f_out, par);
forced = forced(:) | to_force(:);
classes(to_force) = class_out;
USER_DATA{13} = forced;
clustering_results = USER_DATA{10};
handles.minclus = clustering_results(1,5);
handles.force = 1;
handles.setclus = 1;
set(hObject,'String','FORCED')
%set(handles.change_temperature_button,'enable','off');
else
new_forced = zeros(size(forced));
% Fixed clusters are not considered for forcing
set(handles.fix1_button,'value',0);
set(handles.fix2_button,'value',0);
set(handles.fix3_button,'value',0);
for i=4:33
eval(['par.fix' num2str(i) '=0;']);
end
classes(forced(:) & (~new_forced(:)) & (~rejected(:))) = 0; %the elements that before were forced but it isn't force any more, pass to class 0
USER_DATA{13} = new_forced;
handles.force = 0;
handles.setclus = 1;
handles.unforce = true;
set(hObject,'String','Force')
%set(handles.change_temperature_button,'enable','on');
end
USER_DATA{6} = classes(:)';
handles.merge = 0;
handles.undo = 0;
set(handles.wave_clus_figure,'userdata',USER_DATA)
plot_spikes(handles);
function manual_clus_button_Callback(hObject, eventdata,handles_local, cl)
set(hObject,'Enable','off')
try
if isfield(handles_local,'wave_clus_figure')
USER_DATA = get(handles_local.wave_clus_figure,'userdata');
handles = handles_local;
else
h_figs = get(0,'children');
h_fig = findobj(h_figs,'tag','wave_clus_figure');
USER_DATA = get(h_fig,'UserData');
handles = guidata(h_fig);
end
spikes = USER_DATA{2};
classes = USER_DATA{6};
forced = USER_DATA{13};
if cl == -1
current_ax = handles_local.projections;
valids = ~USER_DATA{15}(:); %First, I don't select the rejected
else
eval(['current_ax = handles_local.spikes' num2str(cl) ';']);
valids = ~USER_DATA{15}(:) & (classes(:)==cl); %First, I don't select the rejected
end
if exist('getrect','file')
rect = getrect(current_ax);
else
aux_rec = imrect(current_ax);
rect = aux_rec.getPosition;
aux_rec.delete()
end
if rect(1) > size(spikes,2) || (rect(1) + rect(3))<1 %if the rect is totally outside the axis
set(hObject,'Enable','on');
set(hObject,'value',0);
return;
end
yborders = ylim(current_ax);
if rect(2)<yborders(1)
ymin = -inf;
else
ymin = rect(2);
end
if rect(2) + rect(4)>yborders(2)
ymax = inf;
else
ymax = rect(2) + rect(4);
end
xind = max(1, ceil(rect(1)));
xend = min(size(spikes,2),floor(rect(1) + rect(3)));
if(rect(3)<2)
if rect(3)==0
set(hObject,'Enable','on');
set(hObject,'value',0);
return;
end
sp_selected = (max(spikes(valids,xind:xend),[],2)>ymin) & (min(spikes(valids,xind:xend),[],2)<ymax);
valids(valids==1) = sp_selected;
else
xD = xend-xind;
yD = ymin - ymax;
if xD==0 || yD == 0
set(hObject,'Enable','on');
set(hObject,'value',0);
return;
end
[Mh, Mpos] = max(spikes(valids,xind:xend)');
[mh ,mpos] = min(spikes(valids,xind:xend)');
if ceil(rect(1)) < 1 %if rect is out the axis, extreme in border count like inside the rectangle
xiborder=0;
else
xiborder=1;
end
if floor(rect(1) + rect(3)) > size(spikes,2) %if rect is out the axis, extreme in border count like inside the rectangle
xeborder = xD+2;
else
xeborder = xD;
end
sp_selected = (Mh >= ymin & Mh <= ymax) & (Mpos > xiborder & Mpos < xeborder);
sp_selected = sp_selected |((mh >= ymin & mh <= ymax) & (mpos > xiborder & mpos < xeborder));
valids(valids==1) = sp_selected;
end
if nnz(valids)==0
set(hObject,'Enable','on');
set(hObject,'value',0);
return;
end
clus_n = max(classes) + 1;
USER_DATA{14} = forced;
forced(valids) = 0;
classes(valids)= clus_n;
handles.new_manual = valids;
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
USER_DATA{6} = classes(:)';
USER_DATA{13} = forced;
USER_DATA{16} = USER_DATA{15}; %update bk of rejected spikes
if isfield(handles,'wave_clus_figure')
set(handles.wave_clus_figure,'userdata',USER_DATA)
set(hObject,'Enable','on');
else
set(h_fig,'userdata',USER_DATA)
end
set(hObject,'value',0);
plot_spikes(handles);
catch
set(hObject,'Enable','on');
set(hObject,'value',0);
end
% PLOT ALL PROJECTIONS BUTTON
% --------------------------------------------------------------------
function Plot_all_projections_button_Callback(hObject, eventdata, handles)
USER_DATA = get(handles.wave_clus_figure,'userdata');
par = USER_DATA{1};
if par.channels > 1
Plot_amplitudes(handles)
else
Plot_all_features(handles)
end
% --------------------------------------------------------------------
% fix buttons --------------------------------------------------------------------
function fix_button_Callback(hObject, eventdata, handles,cn)
USER_DATA = get(handles.wave_clus_figure,'userdata');
classes = USER_DATA{6};
fix_class = find(classes== cn);
if isempty(fix_class)
return
end
if get(eval(['handles.fix' num2str(cn) '_button']),'value') ==1
USER_DATA{19+cn} = fix_class; %20 for class 1, etc
else
USER_DATA{19+cn} = [];
end
set(handles.wave_clus_figure,'userdata',USER_DATA)
%SETTING OF SPIKE FEATURES OR PROJECTIONS
% --------------------------------------------------------------------
function spike_shapes_button_Callback(hObject, eventdata, handles)
set(gcbo,'value',1);
set(handles.spike_features_button,'value',0);
USER_DATA = get(handles.wave_clus_figure,'userdata');
cluster_results = USER_DATA{10};
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.minclus = cluster_results(1,5);
plot_spikes(handles);
% -------------------------------------------------------------------
function spike_features_button_Callback(hObject, eventdata, handles)
set(gcbo,'value',1);
set(handles.spike_shapes_button,'value',0);
USER_DATA = get(handles.wave_clus_figure,'userdata');
cluster_results = USER_DATA{10};
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.minclus = cluster_results(1,5);
plot_spikes(handles);
%SETTING OF SPIKE PLOTS
% --------------------------------------------------------------------
function plot_all_button_Callback(hObject, eventdata, handles)
set(hObject,'value',1);
set(handles.plot_average_button,'value',0);
USER_DATA = get(handles.wave_clus_figure,'userdata');
cluster_results = USER_DATA{10};
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.minclus = cluster_results(1,5);
plot_spikes(handles);
% --------------------------------------------------------------------
function plot_average_button_Callback(hObject, eventdata, handles)
set(hObject,'value',1);
set(handles.plot_all_button,'value',0);
USER_DATA = get(handles.wave_clus_figure,'userdata');
cluster_results = USER_DATA{10};
handles.setclus = 1;
handles.force = 0;
handles.merge = 0;
handles.undo = 0;
handles.minclus = cluster_results(1,5);
plot_spikes(handles);
%SETTING OF ISI HISTOGRAMS
function isi_nbins_Callback(hObject, eventdata, handles)
b_name = get(hObject,'Tag');
cn = regexp(b_name, '\d+', 'match');
main_fig = findobj( 0, 'type', 'figure', 'tag', 'wave_clus_figure');
USER_DATA = get(main_fig,'userdata');
par = USER_DATA{1};
value = str2num(get(hObject, 'String'));
if ~isempty(value) && value > 0 && value>=eval(['par.bin_step' cn{1}])
eval(['par.nbins' cn{1} '= value;']);
USER_DATA{1} = par;
set(main_fig,'userdata',USER_DATA);
draw_histograms(handles, str2double(cn{1}),USER_DATA);
else
eval(['set(hObject,''string'',par.nbins' cn{1} ');']);
end
% --------------------------------------------------------------------
function isi_bin_step_Callback(hObject, eventdata, handles)
b_name = get(hObject,'Tag');
cn = regexp(b_name, '\d+', 'match');
main_fig = findobj( 0, 'type', 'figure', 'tag', 'wave_clus_figure');
USER_DATA = get(main_fig,'userdata');
par = USER_DATA{1};
value = str2num(get(hObject, 'String'));
if ~isempty(value) && value > 0 && value<=eval(['par.nbins' cn{1}])
eval(['par.bin_step' cn{1} '= value;']);
USER_DATA{1} = par;
set(main_fig,'userdata',USER_DATA);
draw_histograms(handles, str2double(cn{1}),USER_DATA);
else
eval(['set(hObject,''string'',par.bin_step' cn{1} ');']);
end
%SETTING OF ISI BUTTONS
% --------------------------------------------------------------------
function isi_accept_button_Callback(hObject, eventdata, handles)
set(hObject,'value',1);
b_name = get(gcbo,'Tag');
cn = regexp(b_name, '\d+', 'match');
eval(['set(handles.isi' cn{1} '_reject_button,''value'',0);']);
function isi_reject_button_Callback(hObject, eventdata, handles,developer_mode)
set(hObject,'value',1);
b_name = get(gcbo,'Tag');
cn = str2double(regexp(b_name, '\d+', 'match'));
eval(['set(handles.isi' int2str(cn) '_accept_button,''value'',0);'])
main_fig = findobj( 0, 'type', 'figure', 'tag', 'wave_clus_figure');
USER_DATA = get(main_fig,'userdata');
classes = USER_DATA{6};
if cn == 3
if nnz(classes==3)==0
nlab = imread('filelist_wc.xlj','jpg');
figure('color','k'); image(nlab); axis off; set(gcf,'NumberTitle','off');
end
end
if developer_mode
pumenu_reject = findobj(main_fig,'tag','pumenu_reject');
if get(pumenu_reject,'Value')==1
rejected = USER_DATA{15};
USER_DATA{16} = rejected; %update bk of rejected spikes
rejected(classes==cn) = true;
USER_DATA{15} = rejected;
else
USER_DATA{16} = USER_DATA{15};
end
end
forced = USER_DATA{13};
USER_DATA{14} = forced;
forced(classes==cn) = 0;
USER_DATA{13} = forced;
classes(classes==cn) = 0;
USER_DATA{6} = classes;
clustering_results = USER_DATA{10};
USER_DATA{11} = clustering_results; % Save backup