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Stochastic resonance (SR) is known as a phenomenon in which the presence of noise helps a nonlinear system in amplifying a weak (under barrier) signal. In this paper, we investigate how SR behavior can be observed in practical autoassociative neural networks with the Hopfield-type memory under the stochastic dynamics. We focus on SR responses in two systems which consist of three and 156 neurons....
In this work, we consider a class of impulsive non-autonomous stochastic neural networks with mixed delays. By establishing a new generalized Halanay inequality with impulses, we obtain some sufficient conditions ensuring global mean square exponential stability of the addressed neural networks. The sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive...
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