---
_id: '8073'
abstract:
- lang: eng
text: Motor cortex (M1) exhibits a rich repertoire of neuronal 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 modulation of neuronal
input–output gains in recurrent neuronal-network models with a fixed architecture
can dramatically reorganize neuronal activity and thus downstream muscle outputs.
Consistent with the observation of diffuse neuromodulatory projections to M1,
a relatively small number of modulatory control units provide sufficient flexibility
to adjust high-dimensional network activity using a simple reward-based learning
rule. Furthermore, it is possible to assemble novel movements from previously
learned primitives, and one can separately change movement speed while preserving
movement shape. Our results provide a new perspective on the role of modulatory
systems in controlling recurrent cortical activity.
article_processing_charge: No
article_type: original
author:
- first_name: Jake P.
full_name: Stroud, Jake P.
last_name: Stroud
- first_name: Mason A.
full_name: Porter, Mason A.
last_name: Porter
- first_name: Guillaume
full_name: Hennequin, Guillaume
last_name: Hennequin
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
citation:
ama: Stroud JP, Porter MA, Hennequin G, Vogels TP. Motor primitives in space and
time via targeted gain modulation in cortical networks. Nature Neuroscience.
2018;21(12):1774-1783. doi:10.1038/s41593-018-0276-0
apa: Stroud, J. P., Porter, M. A., Hennequin, G., & Vogels, T. P. (2018). Motor
primitives in space and time via targeted gain modulation in cortical networks.
Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-018-0276-0
chicago: Stroud, Jake P., Mason A. Porter, Guillaume Hennequin, and Tim P Vogels.
“Motor Primitives in Space and Time via Targeted Gain Modulation in Cortical Networks.”
Nature Neuroscience. Springer Nature, 2018. https://doi.org/10.1038/s41593-018-0276-0.
ieee: J. P. Stroud, M. A. Porter, G. Hennequin, and T. P. Vogels, “Motor primitives
in space and time via targeted gain modulation in cortical networks,” Nature
Neuroscience, vol. 21, no. 12. Springer Nature, pp. 1774–1783, 2018.
ista: Stroud JP, Porter MA, Hennequin G, Vogels TP. 2018. Motor primitives in space
and time via targeted gain modulation in cortical networks. Nature Neuroscience.
21(12), 1774–1783.
mla: Stroud, Jake P., et al. “Motor Primitives in Space and Time via Targeted Gain
Modulation in Cortical Networks.” Nature Neuroscience, vol. 21, no. 12,
Springer Nature, 2018, pp. 1774–83, doi:10.1038/s41593-018-0276-0.
short: J.P. Stroud, M.A. Porter, G. Hennequin, T.P. Vogels, Nature Neuroscience
21 (2018) 1774–1783.
date_created: 2020-06-30T13:18:02Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2021-01-12T08:16:46Z
day: '01'
doi: 10.1038/s41593-018-0276-0
extern: '1'
external_id:
pmid:
- '30482949'
intvolume: ' 21'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276991/
month: '12'
oa: 1
oa_version: Submitted Version
page: 1774-1783
pmid: 1
publication: Nature Neuroscience
publication_identifier:
issn:
- 1097-6256
- 1546-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s41593-018-0307-x
status: public
title: Motor primitives in space and time via targeted gain modulation in cortical
networks
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 21
year: '2018'
...