LFADS tutorial example data - Precision center-out reaching task

These are Matlab .mat data files of a precision center out task from the Rouse Precision Neural Dynamics Lab/Schieber Finger Movement Lab.This is data that has been pre-processed to be submitted to LFADS. Data for animal P accompany the Pytorch implementation of LFADS tutorial available at https://github.com/arsedler9/lfads-torchThe original data without the pre-processing is available here: https://doi.org/10.6084/m9.figshare.23631951 The processing script PSTH_prep_forDist.m shared here converts the original data into initial and corrective submovements.The data was aligned to the peak velocity of movement for this analysis. All variables with *_peakVel are time aligned from 400ms before peak velocity until 200ms after in 20ms time steps. Sample 21 is the sample when peak velocity occured.<br>The data variables are as follows:spikes_peakVel: Neural data for each submovement aligned to peak velocity binned in 20 ms bins, spiking unit x time x submovementJoystickPos_peakVel: Position of the joystick and resulting cursor on the display, x&amp;y x time x submovement<br>Information about the submovements aligned to peak velocity are available in the following variables:timeMs_peakVel : array with time in ms relative to peak velocity = 0<br>%The submovments are defined by the cursor movement from 100ms before until 100ms after peak velocity and represented with a straight-line vector%The start and end of the vector are defined by JoystickPos_peakVel(:, [start_behav_samples_peakVel=16,end_behav_samples_peakVel=26],:)direction_deg_peakVel: Direction in degrees of movement, straight right (+x) is 0 degrees, straight up (+y) is 90 degreesmagnitude_peakVel: Magnitude of the movement from 100ms before until 100ms after peak velocity<br>peakVel_tr_label: trial labels that allow identifying which original trial each submovement came fromconditionID_peakVel: Trial condition for given submovement. IDs 1-24 are for intiial amd 25-32 for corrective submovements%conditionID_peakVel 1-8 the initial movements to 8 regular sized targets counterclockwise (1 to right, 8 down-right)%conditionID_peakVel 9-16 the initial movements to 8 narrow sized targets counterclockwise (9 to right, 16 down-right)%conditionID_peakVel 17-24 the initial movements to 8 shallow sized targets counterclockwise (17 to right, 24 down-right)%conditionID_peakVel 25-32 the corrective submovements binned by direction counterclockwise (25 to right, 32 down-right)targetID_peakVel: Target for current submovement%conditionID_peakVel 1-8 for the 8 regular sized targets counterclockwise (1 to right, 8 down-right)%conditionID_peakVel 9-16 for the 8 narrow sized targets counterclockwise (9 to right, 16 down-right)%conditionID_peakVel 17-24 for the 8 shallow sized targets counterclockwise (17 to right, 24 down-right)<br>Other variables not directly corresponding to submovementscondition_psth: mean of spikes_peakVel for each of the 32 conditions in conditionID_peakVel, condition x time x spiking unit dataMask_peakVel: data mask used by getMaskedData to get data time-aligned to peak velocity from original trial dataJoystickPos_disp: Original joystick for each trial x&amp;y x time x trialtargetID: target for each original trial, 1-8 for regular, 9-16 for narrow, and 17-24 for shallow targets timeMs: time in ms for the original trial aligned data samples