The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
S/N Analysis of Associative Memory Model based on Correlation Learning using a Non-Monotonic Property
Tomoyuki KimotoKouji KoizumiMasato Okada
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2001 Volume 8 Issue 3 Pages 86-93

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Abstract
An associative memory model based on the correlation method using a non-monotonic neuron property is proposed and investigated by signal-to-noise analysis. The signal term for recalling and the cross-talk noise term preventing recalling are negatively correlated with each other in this model, so that the variance of the internal potential becomes much smaller than that of the cross-talk noise. This is contrasted with the situation of the Hopfield model in which the two terms are independent of each other. As a result, the present model has twice larger storage capacity in comparison with the Hopfiled model.
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© 2001 Japanese Neural Network Society
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