A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks. - CNRS - Centre national de la recherche scientifique
Article Dans Une Revue Neural Computation Année : 2008

A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.

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Architectures Matérielles [cs.AR] Neurosciences

Hugues Berry  : Connectez-vous pour contacter le contributeur

https://inria.hal.science/inria-00633582

Soumis le : mardi 18 octobre 2011-21:37:50

Dernière modification le : jeudi 16 mai 2024-15:00:04

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inria-00633582 , version 1 (18-10-2011)

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  • HAL Id : inria-00633582 , version 1

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Benoit Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy. A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.. Neural Computation, 2008, 20, pp.2937-2966. ⟨inria-00633582⟩

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