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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Format: | Article |
Language: | English |
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eLife Sciences Publications Ltd
2020-03-01
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Series: | eLife |
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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. |
first_indexed | 2024-04-12T09:52:23Z |
format | Article |
id | doaj.art-cd8519ef458a4979b2b8ed1138bd5534 |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-12T09:52:23Z |
publishDate | 2020-03-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
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 |