From the perceptron to the cerebellum

Uloženo v:
Podrobná bibliografie
Název: From the perceptron to the cerebellum
Autoři: Brunel, Nicolas, Hakim, Vincent, Nadal, Jean-Pierre
Přispěvatelé: NADAL, Jean-Pierre
Zdroj: Comptes Rendus. Physique. 26:463-477
Publication Status: Preprint
Informace o vydavateli: Cellule MathDoc/Centre Mersenne, 2025.
Rok vydání: 2025
Témata: Perceptron, [PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Neurosciences théoriques, FOS: Physical sciences, Cervelet, Theoretical neuroscience, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, [PHYS.COND.CM-DS-NN] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], Biological Physics (physics.bio-ph), Cerebellum, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC), [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Physics - Biological Physics
Popis: The perceptron has served as a prototypical neuronal learning machine in the physics community interested in neural networks and artificial intelligence, which included Gérard Toulouse as one of its prominent figures. It has also been used as a model of Purkinje cells of the cerebellum, a brain structure involved in motor learning, in the early influential theories of David Marr and James Albus. We review these theories, more recent developments in the field, and highlight questions of current interest.
Druh dokumentu: Article
Popis souboru: application/pdf
Jazyk: English
ISSN: 1878-1535
DOI: 10.5802/crphys.251
DOI: 10.48550/arxiv.2505.14355
Přístupová URL adresa: http://arxiv.org/abs/2505.14355
https://hal.science/hal-05100143v1
https://hal.science/hal-05100143v1/document
https://doi.org/10.5802/crphys.251
Rights: CC BY
CC BY NC ND
Přístupové číslo: edsair.doi.dedup.....de0a97fa4b229a6014cf7a37a35f13f0
Databáze: OpenAIRE
Popis
Abstrakt:The perceptron has served as a prototypical neuronal learning machine in the physics community interested in neural networks and artificial intelligence, which included Gérard Toulouse as one of its prominent figures. It has also been used as a model of Purkinje cells of the cerebellum, a brain structure involved in motor learning, in the early influential theories of David Marr and James Albus. We review these theories, more recent developments in the field, and highlight questions of current interest.
ISSN:18781535
DOI:10.5802/crphys.251