A recurrent neural network with ever changing synapses
无序系统与神经网络
2009-10-31 v1 q-bio
摘要
A recurrent neural network with noisy input is studied analytically, on the basis of a Discrete Time Master Equation. The latter is derived from a biologically realizable learning rule for the weights of the connections. In a numerical study it is found that the fixed points of the dynamics of the net are time dependent, implying that the representation in the brain of a fixed piece of information (e.g., a word to be recognized) is not fixed in time.
引用
@article{arxiv.cond-mat/0002360,
title = {A recurrent neural network with ever changing synapses},
author = {M. Heerema and W. A. van Leeuwen},
journal= {arXiv preprint arXiv:cond-mat/0002360},
year = {2009}
}
备注
17 pages, LaTeX, 4 figures