Attractor Neural Networks

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dc.creatorParisi, Giorgio
dc.date1994-12-06
dc.date.accessioned2026-07-07T09:11:08Z
dc.date.available2026-07-07T09:11:08Z
dc.descriptionIn this lecture I will present some models of neural networks that have been developed in the recent years. The aim is to construct neural networks which work as associative memories. Different attractors of the network will be identified as different internal representations of different objects. At the end of the lecture I will present a comparison among the theoretical results and some of the experiments done on real mammal brains.
dc.identifierhttps://arxiv.org/abs/cond-mat/9412030
dc.identifierhttp://arxiv.org/abs/cond-mat/9412030
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151573
dc.subjectCondensed Matter
dc.subjectHigh Energy Physics - Theory
dc.subjectNeurons and Cognition
dc.titleAttractor Neural Networks
dc.typetext

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