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analysis_onset_buildup_avg.m
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analysis_onset_buildup_avg.m
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%function analysis_onset_buildup_avg
%function analysis_onset_buildup_avg
% Analysis of onset of build-up and burst activity of average spiking activity recorded with a
% laminar probe (LMA)
%
%
% Corentin Massot
% Cognition and Sensorimotor Integration Lab, Neeraj J. Gandhi
% University of Pittsburgh
% created 11/29/2016 last modified 01/23/2018
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%set paths
[root_path data_path save_path]=set_paths;
save_path=[root_path 'Results\Results_SC_onsetbuildup\'];
%screen size
scrsz = get(groot,'ScreenSize');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%parameters
%print figures and save data
savedata=0;
savefigs=0;
figtype='png';%'epsc2';
%alignement
%alignlist={'no' 'targ' 'go' 'sacc'};
alignlist={'sacc'};
%windows of analysis (do not change)
%for first results
%wind_sacc=[-400 250];%[-400 100]
%for detrend_500_300
wind_sacc=[-600 100];
%windows baseline
%wt=100;
%wind_targ_pburst_bsl=[-50-wt -50 ];
%wind_bsl_sacc=[-200 -100];%[-200 150];
%vshift
vshift_spk=100;
vshift_lfp=30;%29;
%start .pptx file
savepptx=0;
if savepptx
isOpen = exportToPPTX();
if ~isempty(isOpen),
% If PowerPoint already started, then close first and then open a new one
exportToPPTX('close');
end
exportToPPTX('new','Dimensions',[12 6], ...
'Title','SC onset buildup', ...
'Author','Corentin', ...
'Subject','Automatically generated PPTX file from output of analysis_onset_buildup_avg.m', ...
'Comments',' ');
%tmp filename
file=[save_path 'onset_buildup_tmp' '.' figtype];
%pptx filename
datenow=datestr(now);
datenow=[datenow(1:11) '-' datenow(13:14) 'h' datenow(16:17) 'm' datenow(19:20) 's']
filepptx=[save_path 'SC_onsetbuildup-' datenow]
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%get data
datalist=load_data_gandhilab(data_path);
%colorlist
colorlist=get_colorlist;
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%analyzing data
dlist=get_dlist
allpeak={};allelb1={};allelb2={};allinflect1={};allinflect2={};allinflect3={};allaccum={};allburst={};
classif=struct;allscat={};
data=[];
info=[];
dd=0;
for d=dlist(1:end)
%counter
dd=dd+1;
%get data and info
info.datafile=datalist{d};
load ([data_path info.datafile]);
display(info.datafile)
%getting channel mapping and discard selected bad channels
[info.chmap info.nchannels info.depths]=get_chmap(data(1).info.electrode{2},[]);
%getting trial type
info.trialtype=data(1).sequence(1);
%getting list of targets
targslist=data(1).offline.targslist;
%targets index
targs_ind=get_targsindex(targslist,info);
%target tuning (after compute_tuning)
info.targ_tuning=data(1).offline.targ_tuning;
info.targ=info.targ_tuning;
%align 'sacc'
info.align=alignlist{1};
%aligntime
info.aligntime=abs(min(wind_sacc));
%sacc bursts significance
thresh_ratios=0.15;%0.15
thresh_surprises=4;
ratios_sacc=data(1).offline.sacc_pburst_ratio(info.targ_tuning,:)>thresh_ratios;
surprises_sacc=data(1).offline.sacc_pburst_msurprises(info.targ_tuning,:)>thresh_surprises;
bsignif_sacc=data(1).offline.sacc_bsignif;
bthresh_sacc=data(1).offline.sacc_bthresh_trials';
%burst_bsignif=(ratios_sacc & surprises_sacc & bsignif_sacc & bthresh_sacc);
burst_bsignif=(bsignif_sacc & bthresh_sacc);
burst_bsignif=double(burst_bsignif);
burst_bsignif(find(burst_bsignif==0))=nan;
%ntrials
info.ntrials=0;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %load results onsetbuildup for average trials
% nboot=1;
% nameload=[save_path 'results_onsetbuildup_' info.datafile(1:end-4) '_nboot' num2str(nboot)];
% load(nameload)
% %'trials_boot','peak_boot','elb1_boot','elb2_boot','inflect1_boot','inflect2_boot','inflect3_boot','resnorm1_boot','resnorm2_boot','resnorm3_boot');
%
% trials_avg=squeeze(trials_boot(1,:,:));
% peak_avg=squeeze(peak_boot(1,:,:));
% elb1_avg=squeeze(elb1_boot(1,:,:));
% elb2_avg=squeeze(elb2_boot(1,:,:));
% inflect1_avg=squeeze(inflect1_boot(1,:,1:2));
% inflect2_avg=squeeze(inflect2_boot(1,:,1:2));
% inflect3_avg=squeeze(inflect3_boot(1,:,1:2));
% %resnorm1_avg=resnorm1_boot{1};
% %resnorm2_avg=resnorm2_boot{1};
% %resnorm3_avg=resnorm3_boot{1};
%
%%
%%%%%%%%%%%%%%%%%%
% %plot avg and ste
% figtrials=figure('Position',[scrsz(3)/6 150 scrsz(3)/1.5 scrsz(4)-300]);
% hdlfig=subplot(1,1,1);hold on;
% [range_spk vshift_spk]=plot_trials(trials_avg,[],[],[],[],[],info,hdlfig,[],[],[]);
% %plot_trials(trials_avg+trials_var,[],[],[],[],[],info,hdlfig,[],'-',1);
% %plot_trials(trials_avg-trials_var,[],[],[],[],[],info,hdlfig,[],'-',1);
%
% %plot peak
% plot_events_ch(peak_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',1,'k');
%
% %plot elb_1
% plot_events_ch(elb1_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',1,'');
%
% %plot elb_2
% plot_events_ch(elb2_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',1,'');
%
% %plot inflect 1
% plot_events_ch(inflect1_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',2,'');
%
% %plot inflect 2
% plot_events_ch(inflect2_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',2,'');
%
% %plot inflect 3
% plot_events_ch(inflect3_avg.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',2,'k');
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%
%load results onsetbuildup for bootstrapped trials
nboot=100;%551;%100;%20;
%suffixe='_newd';%'_newdfix';%fix point for 2pwlr %'_new';%'_inflect2_150';%''
suffixe='_detrend_500_300';%'_detrend_500_300_2';%change detrending and elb1 windows
nameload=[save_path 'results_onsetbuildup_' info.datafile(1:end-4) '_nboot' num2str(nboot) suffixe]
load(nameload)
%'trials_boot','peak_boot','elb1_boot','elb2_boot',...
%'inflect1_boot','inflect2_boot','inflect3_boot',...
%'resnorm1_boot','resnorm2_boot','resnorm3_boot',...
%'fitparams1_boot','fitparams2_boot','fitparams3_boot',...
%'resnormfit1_boot','resnormfit2_boot','resnormfit3_boot');
%%
%%%%%%%%%%%%%
%plot all bootstrapped trials
% %plot all trials boot
% figtrialsbootall=figure
% hdlfig=subplot(1,1,1);hold on;
% for b=1:nboot
% [range_spk vshift_spk]=plot_trials(squeeze(trials_boot(b,:,:)),[],[],[],[],[],info,hdlfig,[],[],[]);
% end
%%
%%%%%%%%%%%%%
%plot trials avg and ste
trials_boot_avg=squeeze(mean(trials_boot,1));
trials_boot_var=squeeze(std(trials_boot,1)/size(trials_boot,1));
figtrialsboot=figure;
hdlfig=subplot(1,1,1);hold on;
[range_spk vshift_spk]=plot_trials(trials_boot_avg,[],[],[],[],[],info,hdlfig,[],[],[]);
plot_trials(trials_boot_avg+trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
plot_trials(trials_boot_avg-trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
figtrialsboot2=figure;
hdlfig=subplot(1,1,1);hold on;
[range_spk vshift_spk]=plot_trials(trials_boot_avg,[],[],[],[],[],info,hdlfig,[],[],[]);
plot_trials(trials_boot_avg+trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
plot_trials(trials_boot_avg-trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
figtrialsboot3=figure;
hdlfig=subplot(1,1,1);hold on;
[range_spk vshift_spk]=plot_trials(trials_boot_avg,[],[],[],[],[],info,hdlfig,[],[],[]);
plot_trials(trials_boot_avg+trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
plot_trials(trials_boot_avg-trials_boot_var,[],[],[],[],[],info,hdlfig,[],'-',1);
% %%%%%%%%%%%%%
% %plot all bootstrapped onsets
% for b=1:nboot
% %plot peak
% figure(figtrialsboot)
% onset_plot=[];onset_plot(:,1)=squeeze(peak_boot(b,:,1));onset_plot(:,2)=squeeze(peak_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',1,'k');
% %plot elb_1
% onset_plot=[];onset_plot(:,1)=squeeze(elb1_boot(b,:,1));onset_plot(:,2)=squeeze(elb1_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',1,'');
% %plot elb_2
% onset_plot=[];onset_plot(:,1)=squeeze(elb2_boot(b,:,1));onset_plot(:,2)=squeeze(elb2_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',1,'');
%
% %plot inflect 1
% figure(figtrialsboot2)
% onset_plot=[];onset_plot(:,1)=squeeze(inflect1_boot(b,:,1));onset_plot(:,2)=squeeze(inflect1_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',2,'');
% %plot inflect 2
% onset_plot=[];onset_plot(:,1)=squeeze(inflect2_boot(b,:,1));onset_plot(:,2)=squeeze(inflect2_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','--',2,'');
% %plot inflect 3
% onset_plot=[];onset_plot(:,1)=squeeze(inflect3_boot(b,:,1));onset_plot(:,2)=squeeze(inflect3_boot(b,:,2));
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n','-',3,'');
%
% end
%%
%%%%%%%%%%%%%
%compute CI
ci_level=0.95;%0.8;%95%
p_level=0.01;
peak_ci=[];elb1_ci=[];elb2_ci=[];inflect1_ci=[];inflect2_ci=[];inflect3_ci=[];
fitslopes1_boot=[];fitslopes1_1_ci=[];fitslopes1_2_ci=[];fitslopes1_diff_ci=[];tsignif_fitslopes1=[];
%fitslopes2_boot=[];fitslopes2_1_ci=[];fitslopes2_2_ci=[];
fitslopes3_boot=[];fitslopes3_1_ci=[];fitslopes3_2_ci=[];fitslopes3_diff_ci=[];tsignif_fitslopes3=[];
tsignif_elb1_inflect1=[];%tsignif_elb1_inflect3=[];
elb2_boot=nan(size(elb1_boot));
inflect2_boot=nan(size(elb1_boot));
for ch=1:info.nchannels
peak_ci(ch,1:3)=get_ci2(peak_boot(:,ch,1),ci_level);
elb1_ci(ch,1:3)=get_ci2(elb1_boot(:,ch,1),ci_level);
%elb1 ci normalization search window of elb1 is 250ms (see compute_onset_buildup_avg)
%elb1_ci(ch,4:5)=(elb1_ci(ch,2:3)-elb1_ci(ch,1))./250+elb1_ci(ch,1);
%elb1 ci normalization search window of elb1 is 300ms (see compute_onset_buildup_avg)
elb1_ci(ch,4:5)=(elb1_ci(ch,2:3)-elb1_ci(ch,1))./300+elb1_ci(ch,1);
elb2_ci(ch,1:3)=get_ci2(elb2_boot(:,ch,1),ci_level);
inflect1_ci(ch,1:3)=get_ci2(inflect1_boot(:,ch,1),ci_level);
%inflect1 ci normalization
inflect1_ci(ch,4:5)=(inflect1_ci(ch,2:3)-inflect1_ci(ch,1))./mean(abs(elb1_boot(:,ch,1)-peak_boot(:,ch,1)))+inflect1_ci(ch,1);
inflect2_ci(ch,1:3)=get_ci2(inflect2_boot(:,ch,1),ci_level);
inflect3_ci(ch,1:3)=get_ci2(inflect3_boot(:,ch,1),ci_level);
%inflect3 ci normalization search window of inflect3 is max(-150,elb_1(:,1)-150) to peak (see compute_onset_buildup_avg)
inflect3_ci(ch,4:5)=(inflect3_ci(ch,2:3)-inflect3_ci(ch,1))./mean(abs(max(-150,elb1_boot(:,ch,1)-150)-peak_boot(:,ch,1)))+inflect3_ci(ch,1);
%linear fit slopes
%fitslopes1_boot(:,ch,1)=get_fitangles(squeeze(fitparams1_boot(:,ch,1:2)));
%fitslopes1_boot(:,ch,2)=get_fitangles(squeeze(fitparams1_boot(:,ch,3:4)));
fitslopes1_boot(:,ch,1)=squeeze(fitparams1_boot(:,ch,2));
fitslopes1_boot(:,ch,2)=squeeze(fitparams1_boot(:,ch,4));
fitslopes1_1_ci(ch,:)=get_ci2(fitslopes1_boot(:,ch,1),ci_level);
fitslopes1_2_ci(ch,:)=get_ci2(fitslopes1_boot(:,ch,2),ci_level);
fitslopes1_diff_ci(ch,:)=get_ci2(fitslopes1_boot(:,ch,2)-fitslopes1_boot(:,ch,1),ci_level);
%[H1 p1]=get_testsignif(fitslopes1_boot(:,ch,1),fitslopes1_boot(:,ch,2),p_level);
tsignif_fitslopes1(ch,1)=get_testsignifci(fitslopes1_1_ci(ch,:),fitslopes1_2_ci(ch,:),0);
%for example [28] in paper
%tsignif_fitslopes1(ch,1)=get_testsignifci(fitslopes1_1_ci(ch,:),fitslopes1_2_ci(ch,:),-0.5);
% fitslopes2_boot(:,ch,1)=get_fitangles(squeeze(fitparams2_boot(:,ch,1:2)));
% fitslopes2_boot(:,ch,2)=get_fitangles(squeeze(fitparams2_boot(:,ch,3:4)));
% fitslopes2_1_ci(ch,:)=get_ci2(fitslopes2_boot(:,ch,1),ci_level);
% fitslopes2_2_ci(ch,:)=get_ci2(fitslopes2_boot(:,ch,2),ci_level);
%fitslopes3_boot(:,ch,1)=get_fitangles(squeeze(fitparams3_boot(:,ch,1:2)));
%fitslopes3_boot(:,ch,2)=get_fitangles(squeeze(fitparams3_boot(:,ch,3:4)));
fitslopes3_boot(:,ch,1)=squeeze(fitparams3_boot(:,ch,2));
fitslopes3_boot(:,ch,2)=squeeze(fitparams3_boot(:,ch,4));
fitslopes3_1_ci(ch,:)=get_ci2(fitslopes3_boot(:,ch,1),ci_level);
fitslopes3_2_ci(ch,:)=get_ci2(fitslopes3_boot(:,ch,2),ci_level);
fitslopes3_diff_ci(ch,:)=get_ci2(fitslopes3_boot(:,ch,2)-fitslopes3_boot(:,ch,1),ci_level);
%tsignif_fitslopes3(ch,1:2)=get_testsignif(fitslopes3_boot(:,ch,1),fitslopes3_boot(:,ch,2),p_level);
tsignif_fitslopes3(ch,1)=get_testsignifci(fitslopes3_1_ci(ch,:),fitslopes3_2_ci(ch,:),0);
%for example [28] in paper
%tsignif_fitslopes3(ch,1)=get_testsignifci(fitslopes3_1_ci(ch,:),fitslopes3_2_ci(ch,:),-0.5);
%ranksum tests between elb1 and inflect1
%tsignif_elb1_inflect1(ch,:)=get_testsignif(elb1_boot(:,ch,1),inflect1_boot(:,ch,1),p_level);
tsignif_elb1_inflect1(ch,:)=get_testsignifci(elb1_ci(ch,[1 4 5]),inflect1_ci(ch,[1 4 5]),0);
%to reproduce old results in power pointSC_onsetbuildup-VG-all-22-Feb-2018.pptx
%tsignif_elb1_inflect1(ch,:)=get_testsignifci(elb1_ci(ch,:),inflect1_ci(ch,:),0);
%for example [28] in paper
%tsignif_elb1_inflect1(ch,:)=get_testsignifci(elb1_ci(ch,1:3),inflect1_ci(ch,1:3),10);
%tsignif_elb1_inflect3(ch,:)=get_testsignif(elb1_boot(:,ch,1),inflect3_boot(:,ch,1),p_level);
end
%%
%%%%%%%%%%%%%
%plot onsets mean and ci
linetype_ci={'-' '--' '--','--','--'};
linewidth_ci=[4 2 2 2 2];
%peak mean and ci
figure(figtrialsboot)
color_ci={'k' 'k' 'k'};
for c=1:3
onset_plot=[];onset_plot(:,1)=peak_ci(:,c);
for ch=1:info.nchannels
if ~isnan(onset_plot(ch,1)) & round(onset_plot(ch,1))+info.aligntime <= size(trials_boot_avg,2)
onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%peak_avg(:,2);
end
end
plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
end
%elb1 mean and ci
figure(figtrialsboot)
color_ci={'b' 'b' 'b'};
for c=1:3
onset_plot=[];onset_plot(:,1)=elb1_ci(:,c);
for ch=1:info.nchannels
if ~isnan(onset_plot(ch,1))
onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%elb1_avg(:,2);
end
end
plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
end
% %elb2 mean and ci
% figure(figtrialsboot)
% color_ci={'g' 'g' 'g'};
% for c=1:3
% onset_plot=[];onset_plot(:,1)=elb2_ci(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%elb2_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
%inflect1 mean and ci
figure(figtrialsboot)
color_ci={'r' 'r' 'r' 'r' 'r'};
for c=1:3
onset_plot=[];onset_plot(:,1)=inflect1_ci(:,c);
for ch=1:info.nchannels
if ~isnan(onset_plot(ch,1))
onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect1_avg(:,2);
end
end
plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
end
% %inflect1 mean and ci
% figure(figtrialsboot2)
% color_ci={'r' 'r' 'r' 'r' 'r'};
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect1_ci(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect1_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
% %inflect2 mean and ci
% figure(figtrialsboot2)
% color_ci={'m' 'm' 'm'};
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect2_ci(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect2_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
%inflect3 mean and ci
figure(figtrialsboot3)
color_ci={'c' 'c' 'c'};
for c=1:3
onset_plot=[];onset_plot(:,1)=inflect3_ci(:,c);
for ch=1:info.nchannels
if ~isnan(onset_plot(ch,1))
onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect3_avg(:,2);
end
end
plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
end
% %%
% %%%%%%%%%%%%%
% %plot stats for session
% %NOTE: here theshold on CI on both sides
% % %ci_level=0.8
% % peak_t=20;
% % elb1_t=30;
% % elb2_t=30;
% % inflect1_t=20;
% % inflect1n_t=1.2;%1.3
% % inflect2_t=50;%30;
% % inflect3_t=20;
%
% %ci_level=0.95
% peak_t=20;
% elb1_t=40;
% elb1n_t=0.15;
% elb2_t=40;
% inflect1_t=20;
% inflect1n_t=0.15;%1.3
% inflect2_t=50;%30;
% inflect3_t=20;
% inflect3n_t=0.15;
%
% % peak_t=inf;
% % elb1_t=inf;
% % elb2_t=inf;
% % inflect1_t=inf;
% % inflect1n_t=inf;
% % inflect2_t=inf;%30;
% % inflect3_t=inf;
%
% % peak_t=0;
% % elb1_t=0;
% % elb2_t=0;
% % inflect1_t=0;
% % inflect1n_t=0;
% % inflect2_t=0;
% % inflect3_t=0;
%
%
% %plot ci of onsets
% figelbs=figure('Position',[1 100 scrsz(3) scrsz(4)-500]);
% hold on;
% %peak
% subplot(1,7,1);hold on;
% errorbar(1:info.nchannels,zeros(16,1),abs(peak_ci(:,2)-peak_ci(:,1)),abs(peak_ci(:,3)-peak_ci(:,1)));
% h=line([0 17],[peak_t peak_t]);set(h,'color','r');
% h=line([0 17],[-peak_t -peak_t]);set(h,'color','r');
% grid minor;axis([0 17 -100 100]);
% xlabel('Channel');ylabel('CI (ms)')
% title('peak')
% %elb1
% subplot(1,7,2);hold on;
% errorbar(1:info.nchannels,zeros(16,1),abs(elb1_ci(:,2)-elb1_ci(:,1)),abs(elb1_ci(:,3)-elb1_ci(:,1)));
% h=line([0 17],[elb1_t elb1_t]);set(h,'color','r');
% h=line([0 17],[-elb1_t -elb1_t]);set(h,'color','r');
% grid minor;axis([0 17 -100 100]);
% xlabel('Channel');ylabel('CI (ms)')
% title('elb1')
% %elb1 normalized
% subplot(1,7,3);hold on;
% hdl_e=errorbar(1:info.nchannels,zeros(16,1),abs(elb1_ci(:,4)-elb1_ci(:,1)),abs(elb1_ci(:,5)-elb1_ci(:,1)));
% set(hdl_e,'color','m')
% h=line([0 17],[elb1n_t elb1n_t]);set(h,'color','r');
% h=line([0 17],[-elb1n_t -elb1n_t]);set(h,'color','r');
% grid minor;axis([0 17 -0.5 0.5]);
% xlabel('Channel');ylabel('CI (ms)')
% title('elb1 normalized')
% % %elb2
% % subplot(1,6,4);hold on;
% % errorbar(1:info.nchannels,zeros(16,1),abs(elb2_ci(:,2)-elb2_ci(:,1)),abs(elb2_ci(:,3)-elb2_ci(:,1)));
% % h=line([0 17],[elb2_t elb2_t]);set(h,'color','r');
% % h=line([0 17],[-elb2_t -elb2_t]);set(h,'color','r');
% % grid minor;axis([0 17 -100 100]);
% % xlabel('Channel');ylabel('CI (ms)')
% % title('elb2')
% %inflect1
% subplot(1,7,4);hold on;
% errorbar(1:info.nchannels,zeros(16,1),abs(inflect1_ci(:,2)-inflect1_ci(:,1)),abs(inflect1_ci(:,3)-inflect1_ci(:,1)));
% h=line([0 17],[inflect1_t inflect1_t]);set(h,'color','r');
% h=line([0 17],[-inflect1_t -inflect1_t]);set(h,'color','r');
% grid minor;axis([0 17 -100 100]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect1')
% %inflect1 normalized
% subplot(1,7,5);hold on;
% hdl_e=errorbar(1:info.nchannels,zeros(16,1),abs(inflect1_ci(:,4)-inflect1_ci(:,1)),abs(inflect1_ci(:,5)-inflect1_ci(:,1)));
% set(hdl_e,'color','m')
% h=line([0 17],[inflect1n_t inflect1n_t]);set(h,'color','r');
% h=line([0 17],[-inflect1n_t -inflect1n_t]);set(h,'color','r');
% grid minor;axis([0 17 -0.5 0.5]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect1 normalized')
% % %inflect2
% % subplot(1,6,7);hold on;
% % errorbar(1:info.nchannels,zeros(16,1),abs(inflect2_ci(:,2)-inflect2_ci(:,1)),abs(inflect2_ci(:,3)-inflect2_ci(:,1)));
% % h=line([0 17],[inflect2_t inflect2_t]);set(h,'color','r');
% % h=line([0 17],[-inflect2_t -inflect2_t]);set(h,'color','r');
% % grid minor;axis([0 17 -100 100]);
% % xlabel('Channel');ylabel('CI (ms)')
% % title('inflect2')
% %inflect3
% subplot(1,7,6);hold on;
% errorbar(1:info.nchannels,zeros(16,1),abs(inflect3_ci(:,2)-inflect3_ci(:,1)),abs(inflect3_ci(:,3)-inflect3_ci(:,1)));
% h=line([0 17],[inflect3_t inflect3_t]);set(h,'color','r');
% h=line([0 17],[-inflect3_t -inflect3_t]);set(h,'color','r');
% grid minor;axis([0 17 -100 100]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect3')
% %inflect3 normalized
% subplot(1,7,7);hold on;
% hdl_e=errorbar(1:info.nchannels,zeros(16,1),abs(inflect3_ci(:,4)-inflect3_ci(:,1)),abs(inflect3_ci(:,5)-inflect3_ci(:,1)));
% set(hdl_e,'color','m')
% h=line([0 17],[inflect3n_t inflect3n_t]);set(h,'color','r');
% h=line([0 17],[-inflect3n_t -inflect3n_t]);set(h,'color','r');
% grid minor;axis([0 17 -0.5 0.5]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect3 normalized')
%
% %pause
%%
%%%%%%%%%%%%%
%plot stats for session
%NOTE: here threshold on range of ci (sum of both sides)
%ci_level=0.95
peak_t=40;
elb1_t=80;
%elb1n_t=0.4;%for results
elb1n_t=0.6;%0.4;%0.6;%0.3;0.45;
%for example [28 ]in paper
%elb1n_t=0.4 %0.5;%0.6;%0.3;0.45;
elb2_t=80;
inflect1_t=40;
inflect1n_t=0.5;%0.6;%0.3;0.45;%1.3
inflect1adiff_t=25;
inflect2_t=100;%30;
inflect3_t=40;
inflect3n_t=0.5;%0.6;%0.3;0.45;
inflect3adiff_t=25;
% peak_t=inf;
% elb1_t=inf;
% elb1n_t=inf;
% elb2_t=inf;
% inflect1_t=inf;
% inflect1adiff_t=-inf;
% inflect1n_t=inf;
% inflect2_t=inf;%30;
% inflect3_t=inf;
% inflect3n_t=inf;
% inflect3adiff_t=-inf;
% peak_t=0;
% elb1_t=0;
% elb2_t=0;
% inflect1_t=0;
% inflect1n_t=0;
% inflect2_t=0;
% inflect3_t=0;
%plot ci of onsets
figelbs=figure('Position',[1 100 scrsz(3) scrsz(4)-500]);
hold on;
%peak
subplot(1,6,1);hold on;
errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(peak_ci(:,2)-peak_ci(:,3)));
h=line([0 17],[peak_t peak_t]);set(h,'color','r');
grid minor;axis([0 17 0 200]);
xlabel('Channel');ylabel('CI (ms)')
title('peak')
% %elb1
% subplot(1,7,2);hold on;
% errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(elb1_ci(:,2)-elb1_ci(:,3)));
% h=line([0 17],[elb1_t elb1_t]);set(h,'color','r');
% grid minor;axis([0 17 0 200]);
% xlabel('Channel');ylabel('CI (ms)')
% title('elb1')
%elb1 normalized
subplot(1,6,2);hold on;
hdl_e=errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(elb1_ci(:,4)-elb1_ci(:,5)));
set(hdl_e,'color','m')
h=line([0 17],[elb1n_t elb1n_t]);set(h,'color','r');
grid minor;axis([0 17 0 1]);
xlabel('Channel');ylabel('CI (ms)')
title('elb1 normalized')
% %elb2
% subplot(1,6,4);hold on;
% errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(elb2_ci(:,2)-elb2_ci(:,3)));
% h=line([0 17],[elb2_t elb2_t]);set(h,'color','r');
% grid minor;axis([0 17 0 200]);
% xlabel('Channel');ylabel('CI (ms)')
% title('elb2')
% %inflect1
% subplot(1,7,4);hold on;
% errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(inflect1_ci(:,2)-inflect1_ci(:,3)));
% h=line([0 17],[inflect1_t inflect1_t]);set(h,'color','r');
% grid minor;axis([0 17 0 200]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect1')
%inflect1 normalized
subplot(1,6,3);hold on;
hdl_e=errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(inflect1_ci(:,4)-inflect1_ci(:,5)));
set(hdl_e,'color','m')
h=line([0 17],[inflect1n_t inflect1n_t]);set(h,'color','r');
grid minor;axis([0 17 0 1]);
xlabel('Channel');ylabel('CI (ms)')
title('inflect1 normalized')
% %inflect2
% subplot(1,6,7);hold on;
% errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(inflect2_ci(:,2)-inflect2_ci(:,3)));
% h=line([0 17],[inflect2_t inflect2_t]);set(h,'color','r');
% grid minor;axis([0 17 0 200]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect2')
% %inflect3
% subplot(1,7,6);hold on;
% errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(inflect3_ci(:,2)-inflect3_ci(:,3)));
% h=line([0 17],[inflect3_t inflect3_t]);set(h,'color','r');
% grid minor;axis([0 17 0 200]);
% xlabel('Channel');ylabel('CI (ms)')
% title('inflect3')
%inflect3 normalized
subplot(1,6,5);hold on;
hdl_e=errorbar(1:info.nchannels,zeros(16,1),zeros(info.nchannels,1),abs(inflect3_ci(:,4)-inflect3_ci(:,5)));
set(hdl_e,'color','m')
h=line([0 17],[inflect3n_t inflect3n_t]);set(h,'color','r');
grid minor;axis([0 17 0 1]);
xlabel('Channel');ylabel('CI (ms)')
title('inflect3 normalized')
%plot slopes of inflections
%figslopes=figure('Position',[1 100 scrsz(3) scrsz(4)-500]);
%hold on;
%inflect1 slopes
subplot(1,6,4);hold on;
hdl_e=errorbar(1:info.nchannels,fitslopes1_1_ci(:,1),fitslopes1_1_ci(:,3)-fitslopes1_1_ci(:,1),fitslopes1_1_ci(:,2)-fitslopes1_1_ci(:,1));
set(hdl_e,'color','b')
hdl_e=errorbar(1:info.nchannels,fitslopes1_2_ci(:,1),fitslopes1_2_ci(:,3)-fitslopes1_2_ci(:,1),fitslopes1_2_ci(:,2)-fitslopes1_2_ci(:,1));
set(hdl_e,'color','r')
h=line([0 17],[0 0]);set(h,'color','k');
grid minor;axis([0 17 -1 10]);
xlabel('Channel');ylabel('slopes+CI (spk/s^2)')
title('inflect1 slopes')
% %inflect1 diff slopes
% subplot(1,4,2);hold on;
% hdl_e=errorbar(1:info.nchannels,fitslopes1_diff_ci(:,1),fitslopes1_diff_ci(:,2),fitslopes1_diff_ci(:,3));
% set(hdl_e,'color','b')
% h=line([0 17],[0 0]);set(h,'color','k');
% h=line([0 17],[inflect1adiff_t inflect1adiff_t]);set(h,'color','r');
% grid minor;axis([0 17 -10 10]);
% xlabel('Channel');ylabel('slopes+CI (spk/s^2)')
% title('inflect1 diff slopes')
%inflect3 slopes
subplot(1,6,6);hold on;
hdl_e=errorbar(1:info.nchannels,fitslopes3_1_ci(:,1),fitslopes3_1_ci(:,3)-fitslopes3_1_ci(:,1),fitslopes3_1_ci(:,2)-fitslopes3_1_ci(:,1));
set(hdl_e,'color','b')
hdl_e=errorbar(1:info.nchannels,fitslopes3_2_ci(:,1),fitslopes3_2_ci(:,3)-fitslopes3_2_ci(:,1),fitslopes3_2_ci(:,2)-fitslopes3_2_ci(:,1));
set(hdl_e,'color','r')
h=line([0 17],[0 0]);set(h,'color','k');
grid minor;axis([0 17 -1 10]);
xlabel('Channel');ylabel('slopes+CI (spk/s^2)')
title('inflect3 slopes')
% %inflect3 diff slopes
% subplot(1,4,4);hold on;
% hdl_e=errorbar(1:info.nchannels,fitslopes3_diff_ci(:,1),fitslopes3_diff_ci(:,2),fitslopes3_diff_ci(:,3));
% set(hdl_e,'color','b')
% h=line([0 17],[0 0]);set(h,'color','k');
% h=line([0 17],[inflect3adiff_t inflect3adiff_t]);set(h,'color','r');
% grid minor;axis([0 17 -10 10]);
% xlabel('Channel');ylabel('slopes+CI (spk/s^2)')
% title('inflect3 diff slopes')
%plot regression between CI and slopes diff
figciadiff=figure;
subplot(1,2,1);hold on;
%regression 1
xr=fitslopes1_diff_ci(:,1);
yr=abs(inflect1_ci(:,4)-inflect1_ci(:,5));
x_thresh=inflect1adiff_t;
y_thresh=inflect1n_t;
nnan=find(~isnan(xr) & ~isnan(yr));
xr=xr(nnan);yr=yr(nnan);
[p_fit rsq_fit yr_fit]=get_regressioncoefs(xr,yr,1);
plot(xr,yr,'ok')
plot(xr,yr_fit,'r-')
%h=line([x_thresh x_thresh],[0 max(yr)+0.1]);set(h,'color','k','linestyle','--');
h=line([0 max(xr)+1],[y_thresh y_thresh]);set(h,'color','k','linestyle','--');
axis([0 max(xr)+1 0 max(yr)+0.1])
text(max(xr)-1,max(yr),['r2=' num2str(round(rsq_fit,2))])
ylabel('CI normalized (ms)');xlabel('slopes diff (spk/s^2)');
title('inflect 1')
subplot(1,2,2);hold on;
%regression 3
xr=fitslopes3_diff_ci(:,1);
yr=abs(inflect3_ci(:,4)-inflect3_ci(:,5));
x_thresh=inflect3adiff_t;
y_thresh=inflect3n_t;
nnan=find(~isnan(xr) & ~isnan(yr));
xr=xr(nnan);yr=yr(nnan);
[p_fit rsq_fit yr_fit]=get_regressioncoefs(xr,yr,1);
plot(xr,yr,'ok')
plot(xr,yr_fit,'r-')
%h=line([x_thresh x_thresh],[0 max(yr)+0.1]);set(h,'color','k','linestyle','--');
h=line([0 max(xr)+1],[y_thresh y_thresh]);set(h,'color','k','linestyle','--');
axis([0 max(xr)+1 0 max(yr)+0.1])
text(max(xr)-1,max(yr),['r2=' num2str(round(rsq_fit,2))])
ylabel('CI normalized (ms)');xlabel('slopes diff (spk/s^2)');
title('inflect 3')
tsignif_fitslopes1'
tsignif_fitslopes3'
%pause
% %%
% %%%%%%%%%%%%%
% %save in powerpoint
% if savepptx,
% savetopptx(figtrialsboot,file,figtype,{info.datafile ;' Elbow 1 and 2'});
% savetopptx(figtrialsboot2,file,figtype,{info.datafile ;' Inflection 1 and 2'});
% %savetopptx(figtrialsboot3,file,figtype,{info.datafile ;' Inflection 3'});
% savetopptx(figelbs,file,figtype,{info.datafile ;' CI of onsets and slopes'});
% savetopptx(figciadiff,file,figtype,{info.datafile ;' Regression CI vs. slopes diff'});
%
% end
%%
% %%%%%%%%%%%%%
% %onsets selection by threshold on both side of ci
% %peak
% peak_aux=(sum(abs(peak_ci(:,2:3)-peak_ci(:,1))<peak_t,2)==2);
% peak_sel=peak_ci(:,1:3);
% peak_sel(find(peak_aux==0),:)=nan;
% % %elb1
% % elb1_aux=(sum(abs(elb1_ci(:,2:3)-elb1_ci(:,1))<elb1_t,2)==2);
% % elb1_sel=elb1_ci(:,1:3);
% % elb1_sel(find(elb1_aux==0),:)=nan;
% %elb1 normalized
% elb1_aux=(sum(abs(elb1_ci(:,4:5)-elb1_ci(:,1))<elb1n_t,2)==2);
% elb1_sel=elb1_ci(:,[1 4 5]);
% elb1_sel(find(elb1_aux==0),:)=nan;
% %elb2
% elb2_aux=(sum(abs(elb2_ci(:,2:3)-elb2_ci(:,1))<elb2_t,2)==2);
% elb2_sel=elb2_ci(:,1:3);
% elb2_sel(find(elb2_aux==0),:)=nan;
% % %inflect1
% % inflect1_aux=(sum(abs(inflect1_ci(:,2:3)-inflect1_ci(:,1))<inflect1_t,2)==2);
% % inflect1_sel=inflect1_ci(:,1:3);
% % inflect1_sel(find(inflect1_aux==0),:)=nan;
% %inflect1 normalized
% inflect1_aux=(sum(abs(inflect1_ci(:,4:5)-inflect1_ci(:,1))<inflect1n_t,2)==2);
% inflect1_sel=inflect1_ci(:,[1 4 5]);
% inflect1_sel(find(inflect1_aux==0),:)=nan;
% %inflect2
% inflect2_aux=(sum(abs(inflect2_ci(:,2:3)-inflect2_ci(:,1))<inflect2_t,2)==2);
% inflect2_sel=inflect2_ci(:,1:3);
% inflect2_sel(find(inflect2_aux==0),:)=nan;
% % %inflect3
% % inflect3_aux=(sum(abs(inflect3_ci(:,2:3)-inflect3_ci(:,1))<inflect3_t,2)==2);
% % inflect3_sel=inflect3_ci(:,1:3);
% % inflect3_sel(find(inflect3_aux==0),:)=nan;
% %inflect3 normalized
% inflect3_aux=(sum(abs(inflect3_ci(:,4:5)-inflect3_ci(:,1))<inflect3n_t,2)==2);
% inflect3_sel=inflect3_ci(:,[1 4 5]);
% inflect3_sel(find(inflect3_aux==0),:)=nan;
%onsets selection by threshold on range of ci
%peak
peak_aux=abs(peak_ci(:,2)-peak_ci(:,3))<peak_t;
peak_sel=peak_ci(:,1:3);
peak_sel(find(peak_aux==0),:)=nan;
%elb1
elb1_thresh=abs(elb1_ci(:,4)-elb1_ci(:,5))<elb1n_t;
elb1_sel=elb1_ci(:,[1 4 5]);
elb1_sel(find(elb1_thresh==0),:)=nan;
%elb2
elb2_sel=nan(16,3);
%inflect1
%inflect1_thresh=abs(inflect1_ci(:,4)-inflect1_ci(:,5))<inflect1n_t;
%inflect1_thresh=abs(inflect1_ci(:,4)-inflect1_ci(:,5))<inflect1n_t & fitslopes1_diff_ci(:,1)>inflect1adiff_t;
inflect1_thresh=tsignif_fitslopes1;
inflect1_sel=inflect1_ci(:,[1 4 5]);
inflect1_sel(find(inflect1_thresh==0),:)=nan;
%elb2
inflect2_sel=nan(16,3);
%inflect3
%inflect3_thresh=abs(inflect3_ci(:,4)-inflect3_ci(:,5))<inflect3n_t;
%inflect3_thresh=abs(inflect3_ci(:,4)-inflect3_ci(:,5))<inflect3n_t & fitslopes3_diff_ci(:,1)>inflect3adiff_t;
inflect3_thresh=tsignif_fitslopes3;
inflect3_sel=inflect3_ci(:,[1 4 5]);
inflect3_sel(find(inflect3_thresh==0),:)=nan;
% %plot selected onsets
% linetype_ci={'-' '--' '--'};
% linewidth_ci=[4 2 2];
% % color_ci={'k' 'k' 'k'};
% % %peak mean and ci
% % figure(figtrialsboot)
% % for c=1:3
% % onset_plot=[];onset_plot(:,1)=peak_sel(:,c);
% % for ch=1:info.nchannels
% % if ~isnan(onset_plot(ch,1))
% % onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%peak_avg(:,2);
% % end
% % end
% % plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% % end
% %elb1 mean and ci
% figure(figtrialsboot)
% color_ci={'k' 'k' 'k'};
% for c=1:3
% onset_plot=[];onset_plot(:,1)=elb1_sel(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%elb1_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
% % %elb2 mean and ci
% % figure(figtrialsboot)
% % for c=1:3
% % onset_plot=[];onset_plot(:,1)=elb2_sel(:,c);
% % for ch=1:info.nchannels
% % if ~isnan(onset_plot(ch,1))
% % onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%elb2_avg(:,2);
% % end
% % end
% % plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% % end
% %inflect1 mean and ci
% figure(figtrialsboot)
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect1_sel(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect1_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
% %inflect1 mean and ci
% figure(figtrialsboot2)
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect1_sel(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect1_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
% %inflect2 mean and ci
% figure(figtrialsboot2)
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect2_sel(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect2_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
% %inflect3 mean and ci
% figure(figtrialsboot3)
% for c=1:3
% onset_plot=[];onset_plot(:,1)=inflect3_sel(:,c);
% for ch=1:info.nchannels
% if ~isnan(onset_plot(ch,1))
% onset_plot(ch,2)=trials_boot_avg(ch,round(onset_plot(ch,1))+info.aligntime);%inflect3_avg(:,2);
% end
% end
% plot_events_ch(onset_plot.*[burst_bsignif ; burst_bsignif]',[],vshift_spk,range_spk,info,hdlfig,'n',linetype_ci{c},linewidth_ci(c),color_ci{c});
% end
%
%%
%%%%%%%%%%%%%
%classification accum/burst
%selection between elb1/inflect1/inflect3
% %threshold each sides separately
% %elb1_thresh=(sum(abs(elb1_ci(:,2:3)-elb1_ci(:,1))<elb1_t,2))>=1;
% %inflect1_thresh=(sum(abs(inflect1_ci(:,2:3)-inflect1_ci(:,1))<inflect1_t,2))>=1;
% %inflect3_thresh=(sum(abs(inflect3_ci(:,2:3)-inflect3_ci(:,1))<inflect3_t,2))>=1;
% elb1_thresh=(sum(abs(elb1_ci(:,4:5)-elb1_ci(:,1))<elb1n_t,2))>=1;
% inflect1_thresh=(sum(abs(inflect1_ci(:,4:5)-inflect1_ci(:,1))<inflect1n_t,2))>=1;
% inflect3_thresh=(sum(abs(inflect3_ci(:,4:5)-inflect3_ci(:,1))<inflect3n_t,2))>=1;
% %threshold on range of CI
% elb1_thresh=abs(elb1_ci(:,4)-elb1_ci(:,5))<elb1n_t;
% inflect1_thresh=abs(inflect1_ci(:,4)-inflect1_ci(:,5))<inflect1n_t;
% inflect3_thresh=abs(inflect3_ci(:,4)-inflect3_ci(:,5))<inflect3n_t;
classif_t=-50
accum_onset=nan(info.nchannels,2);burst_onset=nan(info.nchannels,2);
inflect31_onset=nan(info.nchannels,2);inflect32_onset=nan(info.nchannels,2);
scat_01=nan(info.nchannels,2);
scat_10=nan(info.nchannels,2);
scat_10_3=nan(info.nchannels,2);
scat_11=nan(info.nchannels,2);
scat_11_3=nan(info.nchannels,2);
for ch=1:info.nchannels
if elb1_thresh(ch)~=1 & inflect1_thresh(ch)==1
%classification of inflect1
if inflect1_ci(ch,1)>classif_t
burst_onset(ch,1)=inflect1_ci(ch,1);
burst_onset(ch,2)=trials_boot_avg(ch,round(burst_onset(ch,1))+info.aligntime);
else
accum_onset(ch,1)=inflect1_ci(ch,1);
accum_onset(ch,2)=trials_boot_avg(ch,round(accum_onset(ch,1))+info.aligntime);
end
%for scatter plot
scat_01(ch,1:2)=[0 inflect1_ci(ch,1)];
display(['ch=' num2str(ch) ' elb1~=1 inflect1=1'])
display('This condition happens sometimes!')
%pause
elseif elb1_thresh(ch)==1 & inflect1_thresh(ch)~=1
%NOTE: optimally replace classif_t boundary by progressive increase
%of the significance of the slopes difference for inflect3
%classification of elb1
if elb1_ci(ch,1)<classif_t
accum_onset(ch,1)=elb1_ci(ch,1);
accum_onset(ch,2)=trials_boot_avg(ch,round(accum_onset(ch,1))+info.aligntime);
%for scatter plot
scat_10(ch,1:2)=[elb1_ci(ch,1) 0];
display(['ch=' num2str(ch) ' elb1=1 inflect1~=1 elb1<classif_t'])
display('elb1 (<classif_t):')
elb1_ci(ch,1)
elb1_ci(ch,1)<classif_t
%pause
elseif elb1_ci(ch,1)>classif_t & inflect3_thresh(ch)==1
if inflect3_ci(ch,1)>classif_t