Stabilizing Hopfield neural networks via inhibitory self-connections
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.
scientific article; zbMATH DE number 2081787