Matrix analysis
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Periodic solutions of the higher-dimensional non-autonomous systems
Applied Mathematics and Computation
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
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In this paper, the periodic solution for a class of Cohen-Grossberg neural networks with variable coefficients is discussed. By using inequality analysis technique and matrix theory, some new sufficient conditions are obtained to ensure the existence, uniqueness, global attractivity and exponential stability of the periodic solution. An example is given to show the effectiveness of the obtained results.