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analysis:course-w16:week16

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 analysis:course-w16:week16 [2016/03/01 09:00]eirvine [Setup and data loading] analysis:course-w16:week16 [2018/07/07 10:19] (current) Both sides previous revision Previous revision 2016/03/01 09:50 eirvine [Steps 5-7: Get co-activation probabilities] 2016/03/01 09:00 eirvine [Setup and data loading] 2016/02/29 14:13 mvdm 2016/02/29 14:12 mvdm [Challenges] 2016/02/29 14:10 mvdm [Implementing a basic co-occurrence analysis from scratch] 2016/02/29 13:59 mvdm [Steps 5-7: Get co-activation probabilities] 2016/02/29 13:53 mvdm [Steps 5-7: Get co-activation probabilities] 2016/02/29 13:50 mvdm [Step 1: Generating candidate events] 2016/02/29 13:49 mvdm [Step 4: Make a Q-matrix] 2016/02/29 13:42 mvdm [Step 3: Categorizing place cells] 2016/02/29 13:28 mvdm [Step 1: Generating candidate events] 2016/02/29 13:26 mvdm [Step 1: Generating candidate events] 2016/02/28 21:54 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:50 mvdm 2016/02/28 21:39 mvdm [Interpreting coactivation analysis results] 2016/02/28 21:31 mvdm 2016/02/28 21:23 mvdm [Step 4: Make a Q-matrix] 2016/02/28 21:18 mvdm 2016/02/28 21:13 mvdm [Categorizing place cells] 2016/02/28 21:08 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:06 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:03 mvdm [Introduction] 2016/02/28 20:56 mvdm [Introduction] 2016/02/26 14:57 mvdm 2016/02/26 14:27 mvdm created Next revision Previous revision 2016/03/01 09:50 eirvine [Steps 5-7: Get co-activation probabilities] 2016/03/01 09:00 eirvine [Setup and data loading] 2016/02/29 14:13 mvdm 2016/02/29 14:12 mvdm [Challenges] 2016/02/29 14:10 mvdm [Implementing a basic co-occurrence analysis from scratch] 2016/02/29 13:59 mvdm [Steps 5-7: Get co-activation probabilities] 2016/02/29 13:53 mvdm [Steps 5-7: Get co-activation probabilities] 2016/02/29 13:50 mvdm [Step 1: Generating candidate events] 2016/02/29 13:49 mvdm [Step 4: Make a Q-matrix] 2016/02/29 13:42 mvdm [Step 3: Categorizing place cells] 2016/02/29 13:28 mvdm [Step 1: Generating candidate events] 2016/02/29 13:26 mvdm [Step 1: Generating candidate events] 2016/02/28 21:54 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:50 mvdm 2016/02/28 21:39 mvdm [Interpreting coactivation analysis results] 2016/02/28 21:31 mvdm 2016/02/28 21:23 mvdm [Step 4: Make a Q-matrix] 2016/02/28 21:18 mvdm 2016/02/28 21:13 mvdm [Categorizing place cells] 2016/02/28 21:08 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:06 mvdm [Co-activation: concept and overall workflow] 2016/02/28 21:03 mvdm [Introduction] 2016/02/28 20:56 mvdm [Introduction] 2016/02/26 14:57 mvdm 2016/02/26 14:27 mvdm created Line 357: Line 357: 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]; Line 365: Line 366: ​ ​ 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/week16.1456840839.txt.gz ยท Last modified: 2018/07/07 10:19 (external edit)