Agreement in Spiking Neural Networks.

Computer Simulation Neural Networks, Computer Neurons / physiology
binary agreement complexity consensus spiking neural network winner-take-all

Journal

Journal of computational biology : a journal of computational molecular cell biology
ISSN: 1557-8666
Titre abrégé: J Comput Biol
Pays: United States
ID NLM: 9433358

Informations de publication

Date de publication:
04 2022
Historique:
pubmed: 26 3 2022
medline: 12 4 2022
entrez: 25 3 2022
Statut: ppublish

Résumé

We study the problem of binary agreement in a spiking neural network (SNN). We show that binary agreement on

Identifiants

DOI: 10.1089/cmb.2021.0365 PMID: 35333601
pubmed: 35333601
doi: 10.1089/cmb.2021.0365
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

358-369

Auteurs

Martin Kunev (M)

LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France.
ORCID: 0000-0003-1600-3225

Petr Kuznetsov (P)

LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France.

Denis Sheynikhovich (D)

Institut de la Vision, INSERM, CNRS, Sorbonne Université, Paris, France.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Simulation numérique › Agreement in Spiking Neural Networks.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Agreement in Spiking Neural Networks.
questionsmedicales.fr › Cellules › Neurones › Agreement in Spiking Neural Networks.