Local field dynamics in symmetric Q-Ising neural networks
Disordered Systems and Neural Networks
2007-05-23 v1 Statistical Mechanics
Abstract
The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for several values of Q and compared with numerical simulations.
Keywords
Cite
@article{arxiv.cond-mat/0106242,
title = {Local field dynamics in symmetric Q-Ising neural networks},
author = {D. Bolle' and G. M. Shim},
journal= {arXiv preprint arXiv:cond-mat/0106242},
year = {2007}
}
Comments
11 pages Latex, 6 eps figures