Continuous-time additive Hopfield-type neural networks with impulses Page 1 J. Math. Anal.
Appl. 290 (2004) 436–451 www.elsevier.com/locate/jmaa Continuous-time additive Hopfield-type …

In this paper, a four-neuron BAM neural network with distributed delays is considered, where
kernels are chosen as weak kernels. Its dynamics is studied in terms of local stability …

A general two-neuron model with distributed delays is studied in this paper. Its local linear
stability is analyzed by using the Routh–Hurwitz criterion. If the mean delay is used as a …

We use the continuation theorem of coincidence degree theory and Lyapunov functions to
study the existence and global exponential stability of periodic solution for Hopfield-type …

In this paper, a general two-neuron model with distributed delays and a strong kernel is
investigated. By applying the frequency domain approach and analyzing the associated …

In this letter, a sufficient condition for all solutions of a class of neutral equationsto approach
zero at t→∞ is presented. The condition, which is expressed in terms of linear matrix …

This paper investigates a neural network modeled by a scalar delay differential equation.
The focus is placed upon the Hopf bifurcation generated by varying the interaction …

In this work, a new sufficient condition for asymptotic stability of the neutral differential
equation of the form is established. The condition expressed in terms of a linear matrix …

A simple delayed neural network model with three neurons is considered. By constructing
suitable Lyapunov functions, we obtain sufficient delay-dependent criteria to ensure global …

The main purpose of this article is to investigate the osillatory, nonoscillatory and asymptotic
behaviours of solutions of the neutral delay equation $ x (t)+ px (tz)]=-ax (t)+ btanhx (tr), t 2 …