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Neural Computation

September 1994, Vol. 6, No. 5, Pages 837-841
(doi: 10.1162/neco.1994.6.5.837)
© 1994 Massachusetts Institute of Technology
Statistical Analysis of an Autoassociative Memory Network
Article PDF (183.99 KB)
Abstract

A statistical method for analyzing the dynamic behavior of a synchronous autoassociative memory network is presented based on an extension of Amari-Maginu theory. Through computer simulations it is shown that when the memorized pattern ratio is small (r < 0.15) or large (r > 0.2), the derived theory shows good agreement.