Co-contraction embodies uncertainty: An optimal feedforward strategy for robust motor control.

ABSTRACT: Despite our environment often being uncertain, we generally manage to generate stable motor behaviors. While reactive control plays a major role in this achievement, proactive control is critical to cope with the substantial noise and delays that affect neuromusculoskeletal systems. In particular, muscle co-contraction is exploited to robustify feedforward motor commands against internal sensorimotor noise as was revealed by stochastic optimal open-loop control modeling. Here, we extend this framework to neuromusculoskeletal systems subjected to random disturbances originating from the environment. The analytical derivation and numerical simulations predict a characteristic relationship between the degree of uncertainty in the task at hand and the optimal level of anticipatory co-contracti

SUBMITTER: Berret B 

PROVIDER: S-EPMC11616891 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature