研究了Hindmarsh-Rose神经元模型在小世界网络里的非线性耦合问题。通过改变邻居半径m和重连概率P来观察模型的同步问题。同步误差主要是通过解网络里的微分方程来实现的,从而揭示了该神经元模型在小世界网络里的同步规律。
The Hindmarsh-Rose neural model in the small-world network was studied for a nonlinear coupling problem and, through the changes of the radius rn and rewiring probability P, the model of synchronization was observed. The synchronizing error was realized mainly through the solution of differential equations in the network, so as to reveal synchronizing rules of the neural model in the small-world network.