Anti-Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying Coefficients

This paper is concerned with the existence and exponential stability of anti-periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with time-varying coefficients arising from the description of the neurons’ state in delayed neural networks. Some new sufficient conditions ensuring the existence and exponential stability of anti-periodic solutions for SICNNs are established.

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