The effects of probabilistic context inference on motor adaptation.

ABSTRACT: Humans have been shown to adapt their movements when a sudden or gradual change to the dynamics of the environment are introduced, a phenomenon called motor adaptation. If the change is reverted, the adaptation is also quickly reverted. Humans are also able to adapt to multiple changes in dynamics presented separately, and to be able to switch between adapted movements on the fly. Such switching relies on contextual information which is often noisy or misleading, affecting the switch between known adaptations. Recently, computational models for motor adaptation and context inference have been introduced, which contain components for context inference and Bayesian motor adaptation. These models were used to show the effects of context inference on learning rates across different experiments

SUBMITTER: Cuevas Rivera D 

PROVIDER: S-EPMC10317241 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature