Data.zip

data from Bolkan, Stone, et al (2022). code to process and regenerate all figures can be found at: https://github.com/ssbolkan/BolkanStoneEtAl.git and https://github.com/irisstone/glmhmm.git<br><br><br>CONTENTS (12.8GB zipped, 21.9GB unzipped)<br>(1) DMS_AoE_GLMHMM_states.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1 and DMSD2 mice performing accumulation of evidence task, including 3-state GLM-HMM state index and state probabilities)<br>(2) OffOn_TasksOrGroup_all.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1, DMSD2, DMSCtrl, NACD1, NACD2, NACCtrl mice performing evidence accumulation (_aoe), no distractors (_nd) or permanent cues (_pc) tasks)<br>(3) rtPPdata.mat (real time conditioned place preference data)<br>(4) runningWheelSpikes.mat (multi-field structured array for 110 single-units recorded in DMS from D1R-Cre or D2R-Cre mice expressing AAV5-DIO-NpHR, receiving laser sweeps while head-fixed over a running wheel)<br>(5) taskShapingData.mat (summary of AoE, no distractors, or permanent cues task shaping, basic performance metrics x day)<br>(6) virtualCorridor.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1, DMSD2 and DMSCtrl mice navigating a virtual corridor)<br>(7) four .xls files summarizing stereological quantification of D1R/D2R in situ hybridization expression in A2a/D2R/D1R-Cre mouse lines<br>*******************************************************************For a more detailed explanation of data files see: <br>https://github.com/ssbolkan/BolkanStoneEtAl/blob/main/Code/utility/logExplanation.m<br><br>https://github.com/ssbolkan/BolkanStoneEtAl/blob/main/Code/utility/spikeDataAll_Explanation.m<br><br>or contact: scott bolkansbolkan AT princeton DOT edu*******************************************************************