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Stabilizing Hopfield neural networks via inhibitory self-connections. (English) Zbl 1062.34087

The author studies Hopfield-type neural networks with finite distributed delays. He shows how to stabiize the Hopfield neural network with general activation functions and finite distributed delays via self-inhibitory connections. To this end the author uses the theory of monotone dynamical systems.

MSC:

34K20 Stability theory of functional-differential equations
34K60 Qualitative investigation and simulation of models involving functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics
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