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analysis:course-w16:week16 [2016/02/29 14:13]
mvdm
analysis:course-w16:week16 [2016/03/01 09:50]
eirvine [Steps 5-7: Get co-activation probabilities]
Line 54: Line 54:
 === Setup and data loading === === Setup and data loading ===
  
-First, make sure you do a ''​git pull''​ as usual, and get the data. We'll be using session ''​R064-2015-04-22''​. You'll also need to include the ''​tasks\Alyssa-Tmaze''​ and ''​tasks\ReplayAnalysis''​ folders in your path.+First, make sure you do a ''​git pull''​ as usual, and get the data. We'll be using session ''​R064-2015-04-22''​. You'll also need to include the ''​tasks\Alyssa-Tmaze''​ and ''​tasks\Replay_Analysis''​ folders in your path.
  
 Then, we load the data: Then, we load the data:
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 ylabels = {{'​Proportion of';'​SWRs active'​},​{'​Cell pair'; 'joint probability'​},​{'​SWR coactivation';​ '​Z-score'​}};​ ylabels = {{'​Proportion of';'​SWRs active'​},​{'​Cell pair'; 'joint probability'​},​{'​SWR coactivation';​ '​Z-score'​}};​
 arms = {'​L','​R'​};​ arms = {'​L','​R'​};​
 +colors = flipud(linspecer(2));​
 location = [1 2.5]; location = [1 2.5];
  
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         ​         ​
     h(iP) = subplot(1,​3,​iP);​     h(iP) = subplot(1,​3,​iP);​
-    for iBar = 1:2+    for iBar = 1:length(arms)
     ​     ​
         bar(location(iBar),​p_data(iP,​iBar),'​FaceColor',​colors(iBar,:​),'​EdgeColor','​none'​)         bar(location(iBar),​p_data(iP,​iBar),'​FaceColor',​colors(iBar,:​),'​EdgeColor','​none'​)
analysis/course-w16/week16.txt ยท Last modified: 2018/07/07 10:19 (external edit)