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This Letter addresses the qualitative properties of equilibrium points in continuous Hopfield neural networks. We derive a sufficient condition for an equilibrium point to be locally exponentially stable. We also present an estimate on the domains of attraction of locally exponentially stable equilibrium points. Our condition and estimate are formulated in terms of the network parameters, the neurons'...
In this Letter, we introduce a class of Hopfield neural networks with periodic impulses and finite distributed delays. We then derive a sufficient condition for the existence and global exponential stability of a unique periodic solution of the networks, which assumes neither the differentiability nor the monotonicity of the activation functions. Our condition extends and generalizes a known condition...
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