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 …

The stability analysis of recurrent neural networks (RNNs) with multiple equilibria has
received extensive interest since it is a prerequisite for successful applications of RNNs …

This paper addresses the multistability issue for quaternion-valued neural networks
(QVNNs) with time delays. By using the inequality technique, sufficient conditions are …

This paper concerns the problem of global exponential synchronization for a class of
memristor-based Cohen–Grossberg neural networks with time-varying discrete delays and …

This paper addresses the problem of stability for continuous-time and discrete-time
quaternion-valued neural networks (QVNNs) with linear threshold neurons. Applying the …

In this paper, stability of multiple equilibria of neural networks with time-varying delays and
concave-convex characteristics is formulated and studied. Some sufficient conditions are …

This paper is concerned with the multistability of fractional-order competitive neural networks
(FCNNs) with time-varying delays. Based on the division of state space, the equilibrium …

This paper presents new theoretical results on the multistability analysis of a class of
recurrent neural networks with nonmonotonic activation functions and mixed time delays …

In this paper, by using analysis approach and decomposition of state space, the multistability
and multiperiodicity issues are discussed for Cohen–Grossberg neural networks (CGNNs) …

In this paper, the multistability problem is studied for an n-dimensional delayed complex-
valued neural networks with two general classes of activation functions. After splitting the …