Stochastic optimal open-loop control as a theory of force and impedance planning via muscle co-contraction.

ABSTRACT: Understanding the underpinnings of biological motor control is an important issue in movement neuroscience. Optimal control theory is a leading framework to rationalize this problem in computational terms. Previously, optimal control models have been devised either in deterministic or in stochastic settings to account for different aspects of motor control (e.g. average behavior versus trial-to-trial variability). While these approaches have yielded valuable insights about motor control, they typically fail in explaining muscle co-contraction. Co-contraction of a group of muscles associated to a motor function (e.g. agonist and antagonist muscles spanning a joint) contributes to modulate the mechanical impedance of the neuromusculoskeletal system (e.g. joint viscoelasticity) and is thought

SUBMITTER: Berret B 

PROVIDER: S-EPMC7065824 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature