Prediction signals in the cerebellum: beyond supervised motor learning.

Journal Article (Journal Article;Review)

While classical views of cerebellar learning have suggested that this structure predominantly operates according to an error-based supervised learning rule to refine movements, emerging evidence suggests that the cerebellum may also harness a wider range of learning rules to contribute to a variety of behaviors, including cognitive processes. Together, such evidence points to a broad role for cerebellar circuits in generating and testing predictions about movement, reward, and other non-motor operations. However, this expanded view of cerebellar processing also raises many new questions about how such apparent diversity of function arises from a structure with striking homogeneity. Hence, this review will highlight both current evidence for predictive cerebellar circuit function that extends beyond the classical view of error-driven supervised learning, as well as open questions that must be addressed to unify our understanding cerebellar circuit function.

Full Text

Duke Authors

Cited Authors

  • Hull, C

Published Date

  • March 30, 2020

Published In

Volume / Issue

  • 9 /

PubMed ID

  • 32223891

Pubmed Central ID

  • PMC7105376

Electronic International Standard Serial Number (EISSN)

  • 2050-084X

Digital Object Identifier (DOI)

  • 10.7554/eLife.54073


  • eng

Conference Location

  • England