Time evolution of the extremely diluted Blume-Emery-Griffiths neural network
D. Bollé, David Domínguez, Rubem Erichsen, Elka Korutcheva, W. K. Theumann · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2003
A study of the time evolution and a stability analysis of the phases in the extremely diluted Blume-Emery-Griffiths neural network model are shown to yield new phase diagrams in which fluctuation retrieval may drive pattern retrieval. It is shown that saddle-point solutions associated with fluctuation overlaps slow down the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented.