*Correspondence: [email protected] 2College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China Full list of author information is available at the end of the article Abstract This paper is concerned with the global exponential convergence of Cohen-Grossberg neural networks with continuously distributed leakage delays. By using the L...

In this paper, we investigate dynamics of 2 almost periodic attractors for Cohen-Grossberg neural networks (CGNNs) with variable and distribute time delays. By imposing some new assumptions on activation functions and system parameters, we split invariant basin of CGNNs into 2 compact convex subsets. Then the existence of 2 almost periodic solutions lying in compact convex subsets is attained d...

We study the existence and exponential attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. Our results are obtained by applying the continuation theorem of coincidence degree theory and a general Halanay inequality.

Based on the Halanay inequality lemma, this Letter derives a new sufficient condition for the globally exponential stability of the generalized Cohen–Grossberg neural networks with delays (GDCGNNs). The GDCGNN is quite general, and can describe several well-known neural networks with and without delays, including Hopfield and cellular neural networks. It is shown that the proposed sufficient co...