Neuromechanical Simulation with NEURON and MuJoCo
Chris FietkiewicziD, Linh Tran, Robert A. McDougaliD, Clayton B. JacksoniD, Roger D. QuinniD, Hillel J. ChieliD, Peter J. ThomasiD
Abstract
In computational neuroscience, simulation platforms generally do not have adequate tools to model the brain, body and environment simultaneously. We demonstrate a method for simulating neuromechanical models using a novel combination of widely used software platforms: NEURON and MuJoCo. Different neural models are used to control a realistic musculoskeletal model in both open-loop and closed-loop configurations. Three models are presented: (1) an open-loop model using simple spiking neurons from the NEURON model library; (2) an open-loop model using realistic, spiking motoneurons; and (3) a closed-loop central pattern generator with feedback from the physics engine.
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