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Cited by 212

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Models of the cerebellum and motor learning

Houk, James C., Buckingham, Jay T., Barto, Andrew G.·1996·Behavioral and Brain Sciences

Abstract

This article reviews models of the cerebellum and motor learning, from the landmark papers by Marr and Albus through those of the present time. The unique architecture of the cerebellar cortex is ideally suited for pattern recognition, but how is pattern recognition incorporated into motor control and learning systems? The present analysis begins with a discussion of exactly what the cerebellar cortex needs to regulate through its anatomically defined projections to premotor networks. Next, we examine various models showing how the microcircuitry in the cerebellar cortex could be used to achieve its regulatory functions. Having thus defined what it is that Purkinje cells in the cerebellar cortex must learn, we then evaluate theories of motor learning. We examine current models of synaptic plasticity, credit assignment, and the generation of training information, indicating how they could function cooperatively to guide the processes of motor learning.

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Metadata

Authors
Houk, J. C., Buckingham, J. T., & Barto, A. G.
Venue
Behavioral and Brain Sciences
Published
1996-09
Volume
19
Issue
3
Pages
368-383
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
OpenAlex
W2064566192
Cited by
212
References
12
FWCI
6.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Models of the cerebellum and motor learning. https://app.cochat.ai/papers/10.1017/s0140525x00081474
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Houk, J. C., Buckingham, J. T., & Barto, A. G. (1996). Models of the cerebellum and motor learning. Behavioral and Brain Sciences. https://doi.org/10.1017/s0140525x00081474

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.