Data and Code: Decreased spinal inhibition leads to undiversified locomotor patterns

Data and Code belonging to the article 'Increased spinal excitation causes decreased locomotor complexity'.Available as preprint at: https://www.biorxiv.org/content/10.1101/2022.04.21.489087v2 Included filesCODE: - runExampleNet.m: this trains and tests an example network and plots the network outputs. The settings for the signal and the network can all be changed in this file. - runMFT.m: this runs the meanfield theory analysis for various levels of Imbalance and g_tot - createSignal.m: function to create the test and train signals, called from runExampleNet.m - ESN_EI.m: function for the echo state network with distinct excitatory and inhibitory populations, called from runExampleNet.m - getNPG.m: function to get parameter values for the desired imbalances and overall parameter levels DATA: Myonardo (a 3D musculoskeletal model) output for walking slowly (XXX=WalkingI), walking fast (XXX=WalkingII) and running (XXX=Running), used in createSignal. Each folder contains: - XXX.qtm: File with the labelled qualisys data - XXX.mat: File with the recorded kinetic ('force') and kinematic ('trajectories') data - modelOutput.mat: the relevant outputs of the myonardo simulation, used to create the signals in createSignal: - includes: time, right heel marker, muscle length, muscle velocity and muscle activation - musclenames.mat: file indicating which column corresponds to what muscle, necessary for signal creation in createSignal. Upon request, the model simulations results can be shared (several GB). Contact: [e-mail]