A Cerebellar Population Coding Model for Sensorimotor Learning.

ABSTRACT: The cerebellum plays a critical role in sensorimotor learning, using error information to keep the sensorimotor system well-calibrated. Here we present a population-coding model of how the cerebellum compensates for motor errors. The model consists of a two-layer network, one corresponding to the cerebellar cortex and the other to the deep cerebellum nuclei, where the units within each layer are tuned to two features, the direction of the movement and the direction of the error. To empirically evaluate the model, we conducted a series of behavioral experiments using a wide range of perturbation schedules. The model successfully accounts for interference from prior learning, the effects of error uncertainties, and learning in response to perturbations that vary across different time scales.

SUBMITTER: Wang T 

PROVIDER: S-EPMC10349940 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature