Data from: Representations of object location novelty and cue abundance in hippocampal populations

Data from manuscript "Method of place cell classification determines the population of cells identified". The code can be found at https://github.com/DoriMG/hpc_functional_populations.The zip file contains folders for each animal, with each animal folder containing folders for a single session. Each session folder is named by the date. Each session folder contains:A .dat file with the raw rotary encoder output and behavioral measures, such as licks performed. celltypes.mat - this is generated using run_celltype_extraction.m, and contains the cell ids of the place cells, object-vector cells, their probabilities, and their place cell centresFall.mat - the Fall output from suite2p (1)locomotion.csv and locomotion.mat - the locomotion extracted from the raw rotater encoder outputXXXX.csv - a file containing the time each frame was collectedXXXXlicks.csv - a file containing the time of each frame and the capacitance of the lick detectordata.mat - data preprocessed using run_data_extraction.m containing processed data, including the deltaF/F traces, locomotion, binary velocity (i.e. running or not), the location relative to the object, the object location over time, and the condition.A further metadata folder is available with a .mat-file containing behavior metadata, which includes an array with 4 columns. The rows are in order of the files listed in 'data_files.mat' (which correspond to individual animal/days):Time in training (relative)Training day Step completed Animal number 1. Pachitariu, Marius, et al. "Suite2p: beyond 10,000 neurons with standard two-photon microscopy." Biorxiv (2017).