Diluted neural networks with adapting and correlated synapses
无序系统与神经网络
2009-11-07 v1 q-bio
摘要
We consider the dynamics of diluted neural networks with clipped and adapting synapses. Unlike previous studies, the learning rate is kept constant as the connectivity tends to infinity: the synapses evolve on a time scale intermediate between the quenched and annealing limits and all orders of synaptic correlations must be taken into account. The dynamics is solved by mean-field theory, the order parameter for synapses being a function. We describe the effects, in the double dynamics, due to synaptic correlations.
引用
@article{arxiv.cond-mat/0107456,
title = {Diluted neural networks with adapting and correlated synapses},
author = {Massimo Mannarelli and Giuseppe Nardulli and Sebastiano Stramaglia},
journal= {arXiv preprint arXiv:cond-mat/0107456},
year = {2009}
}
备注
6 pages, 3 figures. Accepted for publication in PRE