# PPC_2p_evidence_accumulation ## History-dependent variability in population dynamics during evidence accumulation in cortex This repository contains behavioral data and neural data collected from mice performing an evidence accumulation task in a VR environment. Neural data are recorded from PPC using two-photon calcium imaging. Detailed information about data collection can be found in: Morcos A. S., Harvey C. D. 2016. History-dependent variability in population dynamics during evidence accumulation in cortex, Nature Neuroscience. doi: https://doi.org/10.1038/nn.4403 Data contained in this repository were used in: Valente M., Pica G., Runyan C. A., Morcos A. S., Harvey C. D., Panzeri S. 2020. Correlations enhance the behavioral readout of neural population activity in association cortex. BioRxiv. doi: https://doi.org/10.1101/2020.04.03.024133 Data are available in three different versions, that differ in how data is selected, organized and processed. In decreasing order of completeness: ### Version 1 (AM*_yymmdd_processed.mat) This data version contains one .mat file for each session (PPC) for a total of 11 sessions. Each .mat file contains a cell called imTrials, with dimensionality equal to the number of trials. Each element of the cell contains: - The field imaging with the following imaging data: o dF/F traces; o deconvolved traces; o spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat Neurosci, 2016. o Neural variables consist of deconvolved dF/F traces at the two-photon microscope sampling rate; - The field dat with other measured variables; - The field result with additional trial info (leftTurn, correct). ### Version 2 (data_simple_morcos_per_Epoch.mat) This data version contains onsists of a single .mat file containing a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields: - Neural_data: spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat Neurosci, 2016; - Stimuli: binary array with 1 for stimuli with net evidence on the left, 0 for stimuli with net evidence on the right; - Fine_evidence_last_cue: final net evidence (difference between left and right total evidence). - Choices: binary array with 1 for trials with left turn, 0 for for trial with right turn; - Lateral_speed: spatial-binned behavioral data, averaged over the same 10 trial epochs as imaging data (described in Morcos et Harvey, Nat Neurosci, 2016). ### Version 3 (data_simple_morcos_per_Window.mat) This data version contains onsists of a single .mat file containing a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields: - Neural_data: spatial-binned deconvolved traces, averaged over 7 turn-aligned windows of different length; - Stimuli: binary array with 1 for stimuli with net evidence on the left, 0 for stimuli with net evidence on the right; - Stimuli_fine: final net evidence (difference between left and right total evidence). - Choices: binary array with 1 for trials with left turn, 0 for for trial with right turn.