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Time evolution of the extremely diluted Blume-Emery-Griffiths neural network

D. Bolle'·D. R. C. Dominguez·R. Erichsen Jr.·E. Korutcheva·W. K. Theumann
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Abstract

The time evolution of the extremely diluted Blume-Emery-Griffiths neural network model is studied, and a detailed equilibrium phase diagram is obtained exhibiting pattern retrieval, fluctuation retrieval and self-sustained activity phases. It is shown that saddle-point solutions associated with fluctuation overlaps slow down considerably the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented.

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D. Bolle', D. R. C. Dominguez, R. Erichsen Jr., E. Korutcheva, W. K. Theumann. 2002-08-14. Time evolution of the extremely diluted Blume-Emery-Griffiths neural network. https://doi.org/10.1103/physreve.68.062901

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