Role of interneuron subtypes in controlling trial-by-trial output variability in the neocortex.
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
25 08 2023
25 08 2023
Historique:
received:
13
12
2022
accepted:
08
08
2023
medline:
28
8
2023
pubmed:
25
8
2023
entrez:
24
8
2023
Statut:
epublish
Résumé
Trial-by-trial variability is a ubiquitous property of neuronal activity in vivo which shapes the stimulus response. Computational models have revealed how local network structure and feedforward inputs shape the trial-by-trial variability. However, the role of input statistics and different interneuron subtypes in this process is less understood. To address this, we investigate the dynamics of stimulus response in a cortical microcircuit model with one excitatory and three inhibitory interneuron populations (PV, SST, VIP). Our findings demonstrate that the balance of inputs to different neuron populations and input covariances are the primary determinants of output trial-by-trial variability. The effect of input covariances is contingent on the input balances. In general, the network exhibits smaller output trial-by-trial variability in a PV-dominated regime than in an SST-dominated regime. Importantly, our work reveals mechanisms by which output trial-by-trial variability can be controlled in a context, state, and task-dependent manner.
Identifiants
pubmed: 37620550
doi: 10.1038/s42003-023-05231-0
pii: 10.1038/s42003-023-05231-0
pmc: PMC10449833
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
874Informations de copyright
© 2023. Springer Nature Limited.
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