Prediction signals in the cerebellum: Beyond supervised motor learning

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...

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Main Author: Court Hull
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-03-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/54073
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author Court Hull
author_facet Court Hull
author_sort Court Hull
collection DOAJ
description 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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spelling doaj.art-cd8519ef458a4979b2b8ed1138bd55342022-12-22T03:37:48ZengeLife Sciences Publications LtdeLife2050-084X2020-03-01910.7554/eLife.54073Prediction signals in the cerebellum: Beyond supervised motor learningCourt Hull0https://orcid.org/0000-0002-0360-8367Department of Neurobiology, Duke University School of Medicine, Durham, United StatesWhile 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.https://elifesciences.org/articles/54073cerebellummotor learningneural circuits
spellingShingle Court Hull
Prediction signals in the cerebellum: Beyond supervised motor learning
eLife
cerebellum
motor learning
neural circuits
title Prediction signals in the cerebellum: Beyond supervised motor learning
title_full Prediction signals in the cerebellum: Beyond supervised motor learning
title_fullStr Prediction signals in the cerebellum: Beyond supervised motor learning
title_full_unstemmed Prediction signals in the cerebellum: Beyond supervised motor learning
title_short Prediction signals in the cerebellum: Beyond supervised motor learning
title_sort prediction signals in the cerebellum beyond supervised motor learning
topic cerebellum
motor learning
neural circuits
url https://elifesciences.org/articles/54073
work_keys_str_mv AT courthull predictionsignalsinthecerebellumbeyondsupervisedmotorlearning