This paper addresses the problem of global exponential stability for a class of memristive
Cohen–Grossberg with mixed time delays and impulsive time window. Based on the …

In this paper, we investigate a class of delayed neural networks with impulsive and
stochastic effects. By establishing an L-operator delay differential inequality with impulses …

In this paper, a more general class of state-dependent impulsive Cohen–Grossberg neural
networks having variable coefficients with time-varying delays is addressed. By means of B …

General nonlinear functional differential equations are considered. Explicit criteria for
contraction of such equations are presented. Then explicit criteria for global exponential …

In this article, a class of Cohen–Grossberg neutral networks (CGNNs) with time-varying
delays on time scales is considered. We establish some sufficient conditions on the …

A class of Cohen-Grossberg neural networks with discrete delays are investigated in this
paper. By using the suitable Lyapunov function, sufficient conditions for adaptive lag …

On time scales, by using the continuation theorem of coincidence degree theory, M-matrix
theory and constructing some suitable Lyapunov functions, some sufficient conditions are …

This paper studies the existence and uniform asymptotic stability of pseudo almost periodic
solutions to Cohen‐Grossberg neural networks (CGNNs) with discrete and distributed …

A class of high-order Cohen–Grossberg neural networks with distributed delays is
investigated in this paper. Sufficient conditions to guarantee the uniqueness and global …

A class of Cohen‐Grossberg‐type BAM neural networks with distributed delays and
impulses are investigated in this paper. Sufficient conditions to guarantee the uniqueness …