Computing Temporal Sequences Associated With Dynamic Patterns on the

C. elegans model computational modeling connectome analysis graph theory networks (circuits)

Journal

Frontiers in systems neuroscience
ISSN: 1662-5137
Titre abrégé: Front Syst Neurosci
Pays: Switzerland
ID NLM: 101477946

Informations de publication

Date de publication:
2021
Historique:
received: 20 05 2020
accepted: 04 02 2021
entrez: 26 3 2021
pubmed: 27 3 2021
medline: 27 3 2021
Statut: epublish

Résumé

Understanding how the structural connectivity and spatial geometry of a network constrains the dynamics it is able to support is an active and open area of research. We simulated the plausible dynamics resulting from the known

Identifiants

pubmed: 33767613
doi: 10.3389/fnsys.2021.564124
pmc: PMC7985353
doi:

Types de publication

Journal Article

Langues

eng

Pagination

564124

Informations de copyright

Copyright © 2021 George, Puppo and Silva.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Vivek Kurien George (VK)

Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Center for Engineered Natural Intelligence, University of California, San Diego, San Diego, CA, United States.

Francesca Puppo (F)

Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Center for Engineered Natural Intelligence, University of California, San Diego, San Diego, CA, United States.
BioCircuits Institute, University of California, San Diego, San Diego, CA, United States.

Gabriel A Silva (GA)

Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Center for Engineered Natural Intelligence, University of California, San Diego, San Diego, CA, United States.
BioCircuits Institute, University of California, San Diego, San Diego, CA, United States.
Department of Neurosciences, University of California, San Diego, San Diego, CA, United States.

Classifications MeSH