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Parallel dynamics of continuous Hopfield model revisited

Kazushi Mimura
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Abstract

We have applied the generating functional analysis (GFA) to the continuous Hopfield model. We have also confirmed that the GFA predictions in some typical cases exhibit good consistency with computer simulation results. When a retarded self-interaction term is omitted, the GFA result becomes identical to that obtained using the statistical neurodynamics as well as the case of the sequential binary Hopfield model.

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BibTeXRIS

Kazushi Mimura. 2009-01-16. Parallel dynamics of continuous Hopfield model revisited. https://doi.org/10.1143/jpsj.78.033001

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