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Cited by 336

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Motor control is decision-making

Open access
Wolpert, Daniel M, Landy, Michael S·2012·Current Opinion in Neurobiology
DOI 10.1016/j.conb.2012.05.003
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Abstract

Motor behavior may be viewed as a problem of maximizing the utility of movement outcome in the face of sensory, motor and task uncertainty. Viewed in this way, and allowing for the availability of prior knowledge in the form of a probability distribution over possible states of the world, the choice of a movement plan and strategy for motor control becomes an application of statistical decision theory. This point of view has proven successful in recent years in accounting for movement under risk, inferring the loss function used in motor tasks, and explaining motor behavior in a wide variety of circumstances.

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Metadata

Authors
Wolpert, D. M., & Landy, M. S.
Venue
Current Opinion in Neurobiology
Publisher
Elsevier BV
Published
2012-12
Volume
22
Issue
6
Pages
996-1003
ISSN
0959-4388 (ISSN-L)
DOI
10.1016/j.conb.2012.05.003
OpenAlex
W2073302652
Cited by
336
References
2
FWCI
0.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Motor control is decision-making. https://app.cochat.ai/papers/10.1016/j.conb.2012.05.003
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Wolpert, D. M., & Landy, M. S. (2012). Motor control is decision-making. Current Opinion in Neurobiology. https://doi.org/10.1016/j.conb.2012.05.003

Data sources

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.