Parallel dynamics of continuous Hopfield model revisited
Statistical Mechanics
2009-02-25 v4 Disordered Systems and Neural Networks
Abstract
We have applied the generating functional analysis (GFA) to the continuous Hopfield model. We have also confirmed that the GFA predictions in some typical cases exhibit good consistency with computer simulation results. When a retarded self-interaction term is omitted, the GFA result becomes identical to that obtained using the statistical neurodynamics as well as the case of the sequential binary Hopfield model.
Cite
@article{arxiv.cond-mat/0607436,
title = {Parallel dynamics of continuous Hopfield model revisited},
author = {Kazushi Mimura},
journal= {arXiv preprint arXiv:cond-mat/0607436},
year = {2009}
}
Comments
4 pages, 2 figures