arXiv:cond-mat/0611313AbstractReferencesReviewsResources
Statistical Neurodynamics for sequence processing neural networks with finite dilution
Published 2006-11-13, updated 2007-04-20Version 2
We extend the statistical neurodynamics to study transient dynamics of sequence processing neural networks with finite dilution, and the theoretical results is supported by the extensive numerical simulations. It is found that the order parameter equations are completely equivalent to those of the Generating Functional Method, which means that crosstalk noise is normal distribution even in the case of failure in retrieval process. In order to verify the gaussian assumption of crosstalk noise, we numerically obtain the cumulants of crosstalk noise, and third- and fourth-order cumulants are found to be indeed zero even in non-retrieval case.
Comments: 9 pages, 3 figures
Journal: Lect. Notes Comput. Sci. 4491, Part I, pp. 1148-1156, 2007. (ISNN 2007)
Categories: cond-mat.dis-nn, cond-mat.stat-mech
Keywords: sequence processing neural networks, finite dilution, statistical neurodynamics, crosstalk noise, study transient dynamics
Tags: journal article
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