Attractor Neural Networks
Condensed Matter
2008-02-03 v1 High Energy Physics - Theory
Neurons and Cognition
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.
Cite
@article{arxiv.cond-mat/9412030,
title = {Attractor Neural Networks},
author = {Giorgio Parisi},
journal= {arXiv preprint arXiv:cond-mat/9412030},
year = {2008}
}