- Abstract:
-
Motor cortex (M1) exhibits a rich repertoire of activities to support the generation of complex movements. Although recent neuronal-network models capture many qualitative aspects of M1 dynamics, they can generate only a few distinct movements. Additionally, it is unclear how M1 efficiently controls movements over a wide range of shapes and speeds. We demonstrate that simple modulation of neuronal input–output gains in recurrent neuronal-network models with fixed architecture can dramatically...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 2.2MB)
-
- Publisher copy:
- 10.1038/s41593-018-0276-0
-
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- Funding agency for:
- Stroud, JP
- Publisher:
- Springer Nature Publisher's website
- Journal:
- Nature Neuroscience Journal website
- Volume:
- 21
- Pages:
- 1774–1783
- Publication date:
- 2018-11-26
- Acceptance date:
- 2018-10-09
- DOI:
- EISSN:
-
1546-1726
- ISSN:
-
1097-6256
- Pubs id:
-
pubs:930433
- URN:
-
uri:60c859eb-e930-43ed-aaa4-78e4a40ef5d8
- UUID:
-
uuid:60c859eb-e930-43ed-aaa4-78e4a40ef5d8
- Local pid:
- pubs:930433
- Copyright holder:
- Stroud et al.
- Copyright date:
- 2018
- Notes:
- © The Author(s), under exclusive licence to Springer Nature America, Inc. 2018. This is the accepted manuscript version of the article. The final version is available online from Springer Nature at: https://doi.org/10.1038/s41593-018-0276-0
Journal article
Motor primitives in space and time via targeted gain modulation in cortical networks
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+ Engineering and Physical Sciences Research Council
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