DOI: 10.25452/figshare.plus.15026043
title: Tetrode optic flow track, supporting "Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex"

description: Data presented here is part of the study "<b>Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex</b>" (https://doi.org/10.1016/j.celrep.2021.109669). It consists of recordings of MEC neurons in mice while mice are running down a virtual linear track. Recordings were performed with tetrodes. Furthermore, cells were characterized while mice were freely foraging in an open field environment. For more details, see "Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation"<b> </b>by Campbell et al, (https://doi.org/10.1038/s41593-018-0189-y). Detailed description of data below. <br>Each .mat file corresponds to data from one cell recorded in one session.<br>The titles are structured as follows:____.mat<br>For example,Ariana_0830_opticflow_1_T1C1.mat<br>Inside each .mat file is a structure called celldata, which has the following fields:<br>unique_id: Unique ID of the cellmouse: Mouse namesession: Session namecell: Tetrode and cluster of the cellsession_type: Session typespeed_cutoff: Speed cutoff used to compute firing rate maps, in cm/strack_length: Length of the track, in cmtrack_start: Location of the start of the track, in cmtrack_end: Location of the end of the track, in cmbinsize: Size of the spatial bin for firing rate maps, in cmnbins: Number of spatial bins in the firing rate mapbinedges: Edges of the spatial bins for the firing rate maps, in cmnumblocks: Number of blocksws: Structure with whole session data, explained belowbl: Structure with data split by trial blocks (ignore this for optic flow data)of_data: Structure with statistics computed from open field recordings from the same cell. Cells were matched manually by matching waveforms between open field and VR recordings.<br>The ws ("whole session") structure has the following fields, all computed from VR data:<br>posx: Position of the mouse on the VR track in each time binpost: Time of each time bin, in secondslickx: Lick locationslickt: Lick time stampstrialt: Start time of each trial, in secondstrial: Current trial of each time bintrialtype: Type of each trialtrialgainvalues: VR gain of each trialrecording_length: Recording length in secondsdt: Length of each VR frame, in secondstrialblock: Trialblock number of each time binblocktype: Type of each trial blockblockgain: VR gain of each trial blocktrialsperblock: Number of trials per blockgain: VR gain of each time binvrspeed: VR speed at each time bin (in VR cm/sec)realspeed: Real speed at each time bin (VR speed/gain) (in cm/sec)meanspeed: Mean real speed in the session (cm/sec)posx_filt: Same as posx, but filtered to only include time bins above the speed thresholdpost_filt: Same as post, but filtered to only include time bins above the speed thresholdtrial_filt: Same as trial, but filtered to only include time bins above the speed thresholdtrialblock_filt: Same as trialblock, but filtered to only include time bins above the speed thresholdgain_filt: Same as gain, but filtered to only include time bins above the speed thresholddt_filt: Same as dt, but filtered to only include time bins above the speed thresholdspike_t: Spike timesspike_idx: Time bin index for each spikespike_t_filt: Spike times, filtered to only include spikes when speed was above the speed thresholdspike_idx_filt: Time bin index for each spike, filtered to only include spikes when speed was above the speed threshold<br>The bl ("block") structure is analogous to the ws structure but split by trial blocks, e.g. with different VR gain. This is irrelevant for optic flow data.<br>The of_data structure has the following fields, all computed from matched open field data (see Methods of Campbell et al. 2018 for description of how they were computed):<br>grid_score: Grid scoreborder_score: Border scorehd_score: Head direction scorespeed_score: Speed scoremean_rate: Mean firing ratestability: Spatial stabilitycoherence: Spatial coherencecoverage: Percentage of open field box covered (percent of bins)box_size: Length of the edge of the square open field box, in cm