Attractor Neural Networks
凝聚态物理
2008-02-03 v1 高能物理 - 理论
神经元与认知
摘要
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.
引用
@article{arxiv.cond-mat/9412030,
title = {Attractor Neural Networks},
author = {Giorgio Parisi},
journal= {arXiv preprint arXiv:cond-mat/9412030},
year = {2008}
}