DOI: 10.5281/zenodo.10210595
title: Lateral entorhinal cortex subpopulations represent experiential epochs surrounding reward

description: Data files for the manuscript.
LEC_2p_data.mat contains two-photon imaging data (for LEC, MEC, and CA1) as a .mat table.LEC_opto_data.mat contains optogenetic behavior data as a .mat structure.
description: LEC_2p_data.mat contains two-photon imaging data as a .mat table in the variable Tfull. Each row corresponds to one imaging session with the following entries:General dataexp_name: assigned name of the mousen_fov: field-of-view number for that mousegender: gender of the mouse ('F' or 'M')age: age of the mouse in days for that imaging sessionregion: 1 = CA1, 2 = MEC, 3 = LECcontext: 1=linear track (w/ or w/o reward move), 3=environment switchfirst: 1 indicates this was the first day with a reward move. otherwise 0 or NaN.zf: zoom factor of imaging field using 20X objective (note: zf=1 gives a 700x700 micron field size with the objective used)depth: imaging depth from dura, in micronsBy environmentobj_pos: 1x6 vector of reward positions in each environment (NaN if not applicable)By cellF_mu: mean dF/F0 over timecell_size: area of cell mask from segmentation (microns^2)tauN: transient duration, estimated as half-width of autocorrelation function (seconds)By cell and environmentINORM: spatial information for each neuron (row) and environment (column), in bits/APP_INORM: corresponding p-values of shuffled data against INORM (for example, p=0.93 indicated that INORM exceeded shuffle in 93% of shuffles)Behavior data (uses t timebase)t: time vector (in seconds, sampled at VR frame rate, typically 60 Hz)licks: lick rate vectorv: velocity vector (cm/s)y: track position (cm)Imaging data (uses ft1 timebase)ft1: frame times (in seconds, sampled at imaging frame rate, typically 30 Hz)v2: velocity vector at ft1 times (cm/s)licks2: lick rate vector at ft1 timesmvm: movement data from face camera (each column corresponds to one ROI: snout, tongue, forward whiskers, dorsal whiskers, face pad)SP: matrix of deconvolved transient rate (each column corresponds to one ROI or neuron)yl: structure with additional track information. yl entries include the following, where NL = number of laps and NW = number or environments or conditionsti2: times of start of laps (NL x 1)TLL: track lengths (1 x NW)t0_ft: position of start of laps (NL x 1)y0: lap count at each time (relative to t)START_Y: start position (1 x NW)y_new: unrolled position (relative to t)ibeh: table of reward times and indices (referenced to t), including t_reward (reward times), t_drink (drink times), with each row corresponding to one lapLAPi: cell array (one for each environment) with NL x 1 vector of lap indices for that environmentOBJ_POS: reward position in each environment or conditionII: cell array (one for each environment) of indices of ft1 (if 2p performed) that were in that environmentII_full: same as II but with reference to full timebase ty_ft: unrolled position (same as y_new but relative to ft1)STARTj: start position for each lap (1 x NL)
description: LEC_opto_data.mat contains optogenetic behavior data as a .mat structure in the variable OptoLEC.A: table with information on each session in each row.LSI: lick selectivity indexTDEC: deceleration timeq_dec: decelerations rel. baseline during learningq_lsi: lick selectivity during learningnum_ind: # of mice for control and Jawsid_ind: cell array that indexes which mouse each data point comes fromA is a table with the following entries for each session (first half is controls, second half is Jaws sessions):exp_name: assigned name of the mouseexp_date: date of behavior session (DD-MMM-YYYY format)gender: gender of the mouse ('F' or 'M')DOB: data of birth (DD-MMM-YYYY format)condition: 1 = control, 2 = Jawsya: location of reward 1 (rew1) in Virmen units (multiply by 16 to convert to centimeters).yb: location of reward 2 (rew2) in Virmen unitsfirst: indicates if this was the first time reward was moved. Since this data was excluded, all entries are NaNs.LSI and TDEC are cell arrays. First entry is control data, second entry is Jaws data. Each is an N X L x M matrix, where N is the sessions, L = 50 is the lap indices relative to each switch, (20 laps before switch and 30 laps after switch) and the final dimension is the M = 3 switches as follows:switch 1: rew1, light off -> rew1, light onswitch 2: rew1, light on -> rew2, light onswitch 3: rew2, light on -> rew2, light off