Prediction signals in the cerebellum: beyond supervised motor learning.

ELife
Court Hull

Abstract

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.

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Citations

Sep 27, 2020·Current Opinion in Neurobiology·Nuo Li, Thomas D Mrsic-Flogel
Nov 4, 2020·Integrative and Comparative Biology·Sabrina S Burmeister, Yuxiang Liu
Nov 17, 2020·Frontiers in Systems Neuroscience·Marta MiquelJulian Guarque-Chabrera
Mar 25, 2021·Proceedings. Biological Sciences·Ensor Rafael PalaciosPaul Chadderton
Mar 30, 2021·Neurocase·Ghislain SaunierClaudia D Vargas
Sep 1, 2020·Neuroscience·Stephen G Lisberger
May 25, 2021·Frontiers in Behavioral Neuroscience·Brian KeyDeborah J Brown
Jun 6, 2021·NeuroImage·Lau M Andersen, Sarang S Dalal
Jun 3, 2021·Human Molecular Genetics·Pauline BohneMelanie D Mark
Jul 9, 2021·Annual Review of Neuroscience·Catherine J Stoodley, Peter T Tsai
Oct 16, 2021·The Cerebellum·Enrica Laura Santarcangelo, Diego Manzoni

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