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In this paper, we apply those Hindmarsh-Rose(HR) neural networks, which add time-lag. By numerical simulations, based on the same stimulating parameters, we conclude that the network developed into de-synchronization more quickly and easily. Furthermore, we find it exits an optimal stimulation interval as well as other stimulating parameters. Those phenomena are important to guide us to understand...
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