Mathematical models of learning and what can be learned from them.


Journal

Current opinion in neurobiology
ISSN: 1873-6882
Titre abrégé: Curr Opin Neurobiol
Pays: England
ID NLM: 9111376

Informations de publication

Date de publication:
06 2023
Historique:
received: 25 12 2022
revised: 28 02 2023
accepted: 03 03 2023
medline: 30 5 2023
pubmed: 13 4 2023
entrez: 12 4 2023
Statut: ppublish

Résumé

Learning is a multi-faceted phenomenon of critical importance and hence attracted a great deal of research, both experimental and theoretical. In this review, we will consider some of the paradigmatic examples of learning and discuss the common themes in theoretical learning research, such as levels of modeling and their corresponding relation to experimental observations and mathematical ideas common to different types of learning.

Identifiants

pubmed: 37043892
pii: S0959-4388(23)00046-6
doi: 10.1016/j.conb.2023.102721
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

102721

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Omri Barak (O)

Rappaport Faculty of Medicine and Network Biology Research Laboratories, Technion - Israeli Institute of Technology, Haifa, Israel.

Misha Tsodyks (M)

School of Natural Sciences, Institute for Advanced Study, Princeton, USA; Department of Brain Sciences, Weizmann Institute of Studies, Rehovot, Israel. Electronic address: mtsodyks@gmail.com.

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Classifications MeSH