Network Dynamics Governed by Lyapunov Functions: From Memory to Classification.


Journal

Trends in neurosciences
ISSN: 1878-108X
Titre abrégé: Trends Neurosci
Pays: England
ID NLM: 7808616

Informations de publication

Date de publication:
07 2020
Historique:
received: 06 04 2020
accepted: 10 04 2020
pubmed: 11 5 2020
medline: 3 11 2020
entrez: 11 5 2020
Statut: ppublish

Résumé

In 1982, John Hopfield published a neural network model for memory retrieval, a model that became a cornerstone in theoretical neuroscience. In a recent paper, Krotov and Hopfield built on these early studies and showed how a network that incorporates a biologically plausible learning rule governed by a Lyapunov function can effectively perform classification tasks.

Identifiants

pubmed: 32386741
pii: S0166-2236(20)30076-X
doi: 10.1016/j.tins.2020.04.002
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

453-455

Commentaires et corrections

Type : CommentOn
Type : CommentOn

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Merav Stern (M)

Department of Applied Mathematics, University of Washington, Seattle, WA 98195-3925, USA. Electronic address: ms4325@uw.edu.

Eric Shea-Brown (E)

Department of Applied Mathematics, University of Washington, Seattle, WA 98195-3925, USA; Allen Institute for Brain Science, Seattle, WA 98109-4307, USA.

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