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Dynamical analysis of the brain-state-in-a-box (BSB) neural models
IEEE Transactions on Neural Networks
|January 1, 1992
Abstract:
A stability analysis is performed for the brain-state-in-a-box (BSB) neural models with weight matrices that need not be symmetric. The implementation of associative memories using the analyzed class of neural models is also addressed. In particular, the authors modify the BSB model so that they can better control the extent of the domains of attraction of stored patterns. Generalizations of the results obtained for the BSB models to a class of cellular neural networks are also discussed.
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