Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

It has been over a decade since the release of the now classic original edition of Murray's
Mathematical Biology. Since then mathematical biology has grown at an astonishing rate …

In this article, we systematically review the current literature on neural connectivity and
dynamics, or equivalently, structure and function. In particular, we discuss how changes in …

In this paper, the existence and uniqueness of the equilibrium point and its global asymptotic
stability are discussed for a general class of recurrent neural networks with time-varying …

In this paper, a class of recurrent neural networks with discrete and continuously distributed
delays is considered. Sufficient conditions for the existence, uniqueness, and global …

In this paper, two related problems, global asymptotic stability (GAS) and global robust
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …

A simple neural network model with two delays is considered. Linear stability of the model is
investigated by analyzing the associated characteristic transcendental equation. For the …

In this letter, the state estimation problem is studied for neural networks with time-varying
delays. The interconnection matrix and the activation functions are assumed to be norm …

In this Letter, the global asymptotic stability analysis problem is investigated for a class of
neural networks with discrete and distributed time-delays. The purpose of the problem is to …

For neural networks with constant or time-varying delays, the problems of determining the
exponential stability and estimating the exponential convergence rate are studied in this …