Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.

ABSTRACT: Human movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. In SFFC, movement timing results from the minimization of the intrinsic factors of effort and variance due to constant and signal-dependent motor noise, and movement variability depends on the integration of visual feedback. Reaching arm movements data are used to examine the effect of online vision on movement timing and variability, and test the model. This modelling sugg

SUBMITTER: Berret B 

PROVIDER: S-EPMC8221793 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature