Data and Code: Motor pattern generation is robust to neural network anatomical imbalance favoring inhibition but not excitation

Data and Code belonging to the article 'Motor pattern generation is robust to neural network anatomical imbalance favoring inhibition but not excitation'.<br> Available as preprint at: https://www.biorxiv.org/content/10.1101/2022.04.21.489087v1 <strong>Included files</strong><br> CODE: <br> - runExample.m: run a network from here, the signal and network settings can all be changed in this file.<br> - createSignal.m: function to create the test and train signals, called from runExample<br> - FORCE_InhExc.m: Code for the adapted reservoir computing network, adapted from Sussillo &amp;amp; Abbott (2009, Neuron). DATA: <br> Myonardo output for walking slowly (XXX=WalkingI), walking fast (WalkingII) and running (Running), used in createSignal. Each folder contains:<br> - XXX.qtm: File with the labelled qualisys data <br> - XXX.mat: File with the recorded kinetic ('force') and kinematic ('trajectories') data <br> - modelOutput.mat: the relevant outputs of the myonardo simulation, used to create the signals in createSignal: <br> includes: time, right heel marker, muscle length, muscle velocity and muscle activation<br> - musclenames.mat: file indicating which column corresponds to what muscle, necessary for signal creation in createSignal.<br> Plus two borrowed functions to plot the figure: tightPlots and vline_c Upon request, the model simulations results can be shared (several GB). Contact: [e-mail]