The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Neural Manifolds for the Control of Movement
Open accessAbstract
The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural variability. These neural manifolds are spanned by specific patterns of correlated neural activity, the “neural modes.” We discuss a model for neural control of movement in which the timedependent activation of these neural modes is the generator of motor behavior. This manifold-based view of motor cortex may lead to a better understanding of how the brain controls movement.
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Cites
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Vyas, S., Golub, M. D., Sussillo, D., & Shenoy, K. V. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092619-094115 · Cited by 671
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Geometry of abstract learned knowledge in the hippocampus
Nieh, E. H., Schottdorf, M., Freeman, N. W., Low, R. J., Lewallen, S., Koay, S. A., Pinto, L., Gauthier, J. L., Brody, C. D., & Tank, D. W. (2021) · Nature · doi:10.1038/s41586-021-03652-7 · Cited by 331
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Metadata
- Authors
- Gallego, J. A., Perich, M. G., Miller, L. E., & Solla, S. A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 94
- Issue
- 5
- Pages
- 978-984
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2621961142
- Cited by
- 674
- References
- 67
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gallego, J. A., Perich, M. G., Miller, L. E., & Solla, S. A. (2017). Neural Manifolds for the Control of Movement. Neuron. https://doi.org/10.1016/j.neuron.2017.05.025
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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.
