Analysis of Recall Dynamics of Sequential Associative Memory with Delay Synapses 


Vol. 3,  No. 5, pp. 1130-1137, Sep.  1996
10.3745/KIPSTE.1996.3.5.1130


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  Abstract

Every neural network has some kind of feedback. For the sake of analyzing fundamental aspects of information processing in neural nets, a net without feedbacks is an important theoretical model. But here we focus on a recurrent neural net with delay synapses as a realistic dynamical model of nervous systems. Synaptic connections are determined by a version of the Hebb rule(correlation type rule). We use a statistical neurodynamic method to explain the retrieval dynamics of the network. The result of analysis for the sequential associative memory with delay synapses is compared with computer simulation. We have succeeded in explaining the dynamics of this network by theoretical analysis.

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[IEEE Style]

K. E. Soo, "Analysis of Recall Dynamics of Sequential Associative Memory with Delay Synapses," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 5, pp. 1130-1137, 1996. DOI: 10.3745/KIPSTE.1996.3.5.1130.

[ACM Style]

Kim Eung Soo. 1996. Analysis of Recall Dynamics of Sequential Associative Memory with Delay Synapses. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 5, (1996), 1130-1137. DOI: 10.3745/KIPSTE.1996.3.5.1130.

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