Frustration, stability, and delay-induced oscillations in a neural network model
SIAM Journal on Applied Mathematics
Global attractivity in delayed Hopfield neural network models
SIAM Journal on Applied Mathematics
Global exponential stability of delayed Hopfield neural networks
Neural Networks
Globally exponential stability conditions for cellular neural networks with time-varying delays
Applied Mathematics and Computation
Global stability of cellular neural networks with constant and variable delays
Nonlinear Analysis: Theory, Methods & Applications
Stability analysis for neural dynamics with time-varying delays
IEEE Transactions on Neural Networks
Global stability for cellular neural networks with time delay
IEEE Transactions on Neural Networks
Stability of asymmetric Hopfield networks
IEEE Transactions on Neural Networks
An analysis of global asymptotic stability of delayed cellular neural networks
IEEE Transactions on Neural Networks
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Global asymptotic stability of the equilibrium point of neural networks with time-varying delays is considered in this paper. By utilizing the Lyapunov--Razumikhin technique, some new sufficient conditions are given. The new criteria do not require the delay function to be differentiable and the activation functions to be bounded or monotone nondecreasing. The results presented here are less restrictive and conservative than those given in the earlier references. Two examples are discussed to compare the present results with the existing ones.