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Cited by 287

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Microstimulation Activates a Handful of Muscle Synergies

Open access
Overduin, Simon A., d’Avella, Andrea, Carmena, Jose M., Bizzi, Emilio·2012·Neuron

Abstract

SUMMARY Muscle synergies have been proposed as a mechanism to simplify movement control. Whether these coactivation patterns have any physiological reality within the nervous system remains unknown. Here we applied electrical microstimulation to motor cortical areas of rhesus macaques to evoke hand movements. Movements tended to converge towards particular postures, driven by synchronous bursts of muscle activity. Across stimulation sites, the muscle activations were reducible to linear sums of a few basic patterns—each corresponding to a muscle synergy evident in voluntary reach, grasp, and transport movements made by the animal. These synergies were represented non-uniformly over the cortical surface. We argue that the brain exploits these properties of synergies—postural equivalence, low dimensionality, and topographical representation—to simplify motor planning, even for complex hand movements.

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Crossref · 10.1016/j.neuron.2012.10.018

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Metadata

Authors
Overduin, S. A., d’Avella, A., Carmena, J. M., & Bizzi, E.
Venue
Neuron
Publisher
Elsevier BV
Published
2012-12
Volume
76
Issue
6
Pages
1071-1077
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2057820870
Cited by
287
References
36
FWCI
11.82
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microstimulation Activates a Handful of Muscle Synergies. https://app.cochat.ai/papers/10.1016/j.neuron.2012.10.018
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Overduin, S. A., d’Avella, A., Carmena, J. M., & Bizzi, E. (2012). Microstimulation Activates a Handful of Muscle Synergies. Neuron. https://doi.org/10.1016/j.neuron.2012.10.018

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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.