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TITLES={'Std','Targ','Nov'};
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COL={'b','r','m'};
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YLIM=[-6 8];
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figure;
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for ai=1:3
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subplot(3,1,ai); hold on;
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for gi=1:3
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V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
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plot(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),COL{gi},'Linewidth',2);
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clear V;
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end
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for gi=1:3
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V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
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shadedErrorBar(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),squeeze(nanstd( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1))./sqrt(sum(V)),COL{gi});
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clear V;
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end
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for gi=1:3
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V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
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plot(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),COL{gi},'Linewidth',2);
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set(gca,'ylim',YLIM);
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clear V;
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end
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plot([ERPWINS(ai,1) ERPWINS(ai,1)],[5 7],'k:'); plot([ERPWINS(ai,2) ERPWINS(ai,2)],[5 7],'k:');
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title(TITLES{ai});
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V_ctl = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==1) );
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V_acute = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==2) );
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V_chronic = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==3) );
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ERPs_ctl=squeeze(MEGA_ERP(V_ctl,ERPSITE(ai),:,ai));
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ERPs_acute=squeeze(MEGA_ERP(V_acute,ERPSITE(ai),:,ai));
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ERPs_chronic=squeeze(MEGA_ERP(V_chronic,ERPSITE(ai),:,ai));
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[H,P,CI,STATS]=ttest2(ERPs_ctl,ERPs_acute); P(P>.05)=NaN; P(P<=.05)=1;
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plot(tx2disp,-4.*P,'r'); clear H P CI STATS TEMP*;
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[H,P,CI,STATS]=ttest2(ERPs_ctl,ERPs_chronic); P(P>.05)=NaN; P(P<=.05)=1;
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plot(tx2disp,-4.5.*P,'m'); clear H P CI STATS TEMP*;
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clear V_ctl V_acute V_chronic ERPs_ctl ERPs_acute ERPs_chronic
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end
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legend({'CTL','Acute','Chronic'},'Location','NorthWest')
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figure;
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for ai=1:3
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subplot(3,1,ai); hold on;
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for gi=1:3
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for time=1:3
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V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
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plot(time,squeeze(nanmean(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)),[COL{gi},'d']);
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errorbar(time,squeeze(nanmean(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)),...
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squeeze(nanstd(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ./sqrt(sum(V)),'k.');
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BIG_OL_N(gi,time)=sum(V);
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clear V;
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end
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V1 = logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==gi) );
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V2 = logical( double(IDENTITY.DEMO(:,2)==2) .* double(IDENTITY.DEMO(:,3)==gi) );
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V3 = logical( double(IDENTITY.DEMO(:,2)==3) .* double(IDENTITY.DEMO(:,3)==gi) );
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plot([1 2],[squeeze(nanmean(mean( MEGA_ERP(V1,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ,...
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squeeze(nanmean(mean( MEGA_ERP(V2,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1))],'k-');
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plot([2 3],[squeeze(nanmean(mean( MEGA_ERP(V2,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ,...
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squeeze(nanmean(mean( MEGA_ERP(V3,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1))],'k-');
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clear V*;
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end
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set(gca,'xlim',[0 4],'xtick',[1:1:3])
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title(TITLES{ai});
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|
end
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STATS{1}=[]; STATS{2}=[];
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for si=1:2
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Sx=logical( double(IDENTITY.DEMO(:,3)==si) );
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Sx_idxs=unique(IDENTITY.DEMO(Sx,1));
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for sxi=1:length(Sx_idxs)
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thisguy=Sx_idxs(sxi);
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FIRST=[]; SECOND=[]; THIRD=[];
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FIRST=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==1) ));
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SECOND=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==2) ));
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THIRD=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==3) ));
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ai=2;
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|
ERP1=NaN; ERP2=NaN; ERP3=NaN;
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|
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
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if ~isempty(SECOND), ERP2=mean( MEGA_ERP(SECOND,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
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if ~isempty(THIRD), ERP3=mean( MEGA_ERP(THIRD,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
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|
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,ERP2,ERP3];
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|
ai=3;
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|
ERP1=NaN; ERP2=NaN; ERP3=NaN;
|
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|
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
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if ~isempty(SECOND), ERP2=mean( MEGA_ERP(SECOND,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
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|
if ~isempty(THIRD), ERP3=mean( MEGA_ERP(THIRD,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
|
|
|
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,ERP2,ERP3];
|
|
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|
|
clear thisguy;
|
|
|
end
|
|
|
clear Sx Sx_idxs;
|
|
|
end
|
|
|
|
|
|
si=3; clear Sx Sx_idxs;
|
|
|
Sx=logical( double(IDENTITY.DEMO(:,3)==si) );
|
|
|
Sx_idxs=unique(IDENTITY.DEMO(Sx,1));
|
|
|
for sxi=1:length(Sx_idxs)
|
|
|
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|
|
thisguy=Sx_idxs(sxi);
|
|
|
FIRST=[];
|
|
|
FIRST=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==1) ));
|
|
|
|
|
|
ai=2;
|
|
|
ERP1=NaN;
|
|
|
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
|
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|
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,NaN,NaN];
|
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|
ai=3;
|
|
|
ERP1=NaN;
|
|
|
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
|
|
|
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,NaN,NaN];
|
|
|
|
|
|
clear thisguy;
|
|
|
end
|
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|
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|
