<b>Data set for article "Divergent Subregional Information Processing in Mouse Prefrontal Cortex during Working Memory"</b>

This data repository contains six structures storing the data from the Sonneborn et al. Communications Biology publication "Divergent Subregional Information Processing in Mouse Prefrontal Cortex during Working Memory". The six structures contain the raw data used tomake all figures in the paper. Each of the three brain regions in the paper has two corresponding structures, one for raw spike data, and one for sorted behavioral data, including sorted by ports visited. It also containes 2 custom MATLAB functions. <br>The SPIKE STRUCTURES have the raw spiking data for all recorded neurons aligned to important poke events. Each row of these structures corresponds to an individualneuron. The columns are listed below:<br>Column 1 - Session_Name: Shows the mouse number and (session) during which that neuron was recorded. Example: the label NMTP_1(5) has neurons from mouse #1, session #5.<br>Column 2 - Spike_Times: A vector of raw spike timestamps from the output of Kilosort3. Sampled at 30kHz. <br>Remaining Columns: Logical arrays organized in trials x time (30 kHz) matrices. The rows of each matrix are sorted by either the sample ports on individual trials (sample sorted) or the choice ports on individual drials (choice sorted). For example, the column 'SampleSortedChoice' contains logical spike data (1s for spikes, 0s for no spike), sorted by sample port location (Left or Right), during the delay phase of the DNMTP task). <br>The PORT STRUCTURES contain info about how data in the spike arrays was organized by trial type, and also include behavioral data used in several figures. For example, the columnSortedSamplePorts includes the sorting key for individual sessions which shows exactlywhich trials were left and right sample trials for the corresponding neurons in the spikestruct. There is also a similar column for choice struct. For sample ports, Left = 1 and Right = 5. For choice ports, Left = 1, Right = 5, and Center = 3.<br>The functions take the structures as input (one subregion at at time). One function plotsthe cross-temporal support vector machines used in several figures, and the other providesthe GLM analysis used in Figures 6 and 7. Each function contains detailed instructions onhow to input the structures into the functions and read the output.