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 …

Robust stability of different types of dynamical neural network models including time delay
parameters have been extensively studied, and many different sets of sufficient conditions …

Software systems evolve over time due to changes in requirements, optimization of code,
fixes for security and reliability bugs etc. Code churn, which measures the changes made to …

This paper introduces a general class of neural networks with arbitrary constant delays in
the neuron interconnections, and neuron activations belonging to the set of discontinuous …

A delay-differential equation modelling a bidirectional associative memory (BAM) neural
network with three neurons is investigated. Its dynamics are studied in terms of local …

In this paper, a model is considered to describe the dynamics of Cohen–Grossberg neural
network with variable coefficients and time-varying delays. Uniformly ultimate boundedness …

In this Letter, we discuss a class of Cohen–Grossberg neural networks with time delays and
investigate their global asymptotic stability of the equilibrium point for this systems. By …

Exponential stabilities of the Cohen–Grossberg neural network with and without delays are
analyzed. By Liapunov functions/functionals, sufficient conditions are obtained for general …

In this paper, we are concerned with a class of Clifford-valued inertial Cohen-Grossberg
neural networks with time-varying delays. Based on the coincidence degree theory and the …

In this paper, the Cohen–Grossberg neural network model with both time-varying and
continuously distributed delays is considered. Without assuming both global Lipschitz …