Simulation study of time lag in de-synchronization of nerve network

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 the synchronization of real neural networks.