Motor cortex latent dynamics encode arm movement direction and urgency independently.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
24 Aug 2023
Historique:
pubmed: 9 6 2023
medline: 9 6 2023
entrez: 9 6 2023
Statut: epublish

Résumé

The fluid movement of an arm is controlled by multiple parameters that can be set independently. Recent studies argue that arm movements are generated by the collective dynamics of neurons in motor cortex. An untested prediction of this hypothesis is that independent parameters of movement must map to independently-specifiable dynamics. Using a task where monkeys made sequential, varied arm movements, we show that independent parameters of arm movements are independently encoded in the low-dimensional trajectories of population activity: each movement's direction by a fixed neural trajectory and its urgency by how quickly that trajectory was traversed. Network models show this latent coding allows the direction and urgency of arm movement to be independently controlled. Our results support a key prediction of the dynamical systems view of motor cortex, but also argue that not all parameters of movement are defined by the initial conditions of those dynamics.

Identifiants

pubmed: 37292834
doi: 10.1101/2023.05.26.542452
pmc: PMC10246015
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NINDS NIH HHS
ID : F31 NS092356
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS074044
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD007418
Pays : United States

Déclaration de conflit d'intérêts

Competing interests The authors declare no competing interests.

Auteurs

Andrea Colins Rodriguez (A)

School of Psychology, University of Nottingham, Nottingham, United Kingdom.

Matthew G Perich (MG)

Département de neurosciences, Faculté de médecine, Université de Montréal,Montréal, Canada.
Québec Artificial Intelligence Institute (Mila),Québec, Canada.

Lee Miller (L)

Northwestern University, Department of Biomedical Engineering, Chicago, USA.

Mark D Humphries (MD)

School of Psychology, University of Nottingham, Nottingham, United Kingdom.

Classifications MeSH