Recurrent circuit dynamics underlie persistent activity in the macaque frontoparietal network.
FEF
GLM
LIP
coupling
neuroscience
persistent activity
rhesus macaque
working memory
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
07 05 2020
07 05 2020
Historique:
received:
04
10
2019
accepted:
23
04
2020
entrez:
8
5
2020
pubmed:
8
5
2020
medline:
16
3
2021
Statut:
epublish
Résumé
During delayed oculomotor response tasks, neurons in the lateral intraparietal area (LIP) and the frontal eye fields (FEF) exhibit persistent activity that reflects the active maintenance of behaviorally relevant information. Despite many computational models of the mechanisms of persistent activity, there is a lack of circuit-level data from the primate to inform the theories. To fill this gap, we simultaneously recorded ensembles of neurons in both LIP and FEF while macaques performed a memory-guided saccade task. A population encoding model revealed strong and symmetric long-timescale recurrent excitation between LIP and FEF. Unexpectedly, LIP exhibited stronger local functional connectivity than FEF, and many neurons in LIP had longer network and intrinsic timescales. The differences in connectivity could be explained by the strength of recurrent dynamics in attractor networks. These findings reveal reciprocal multi-area circuit dynamics in the frontoparietal network during persistent activity and lay the groundwork for quantitative comparisons to theoretical models.
Identifiants
pubmed: 32379044
doi: 10.7554/eLife.52460
pii: 52460
pmc: PMC7205463
doi:
pii:
Banques de données
Dryad
['10.5061/dryad.gb5mkkwk7']
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Foundation
ID : IIS-173491
Pays : International
Organisme : NEI NIH HHS
ID : T32 EY021462
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY017366
Pays : United States
Informations de copyright
© 2020, Hart and Huk.
Déclaration de conflit d'intérêts
EH, AH No competing interests declared
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