Attractor Neural Networks

1994/12/06 by Giorgio Parisi, Parisi, Giorgio
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Condensed Matter (cond-mat) #FOS: Biological sciences #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #cond-mat #hep-th #q-bio.NC

paper · pdf · doi:10.48550/arxiv.cond-mat/9412030

arxiv created 1994/12/06 · openalex publication_date 1994/12/06 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In 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.

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