Stimulate Parameters Study Of Small World Neural Network

In life system, the synchronization is necessary for normal function, such as the communication among the different function regions, but the abnormal synchronization will result in serious out-of-order, for example Epilepsy and Parkinson, both of them are degenerative nervous system diseases. The important feature of Epilepsy and Parkinson'seizure is the nervous system's synchronization. The Hindmarsh-Rose neurals constitute the neural network. In this neural network, we research the synchronization and de-synchronization. Use the method of computer, we can receive some rusults about the synchronization and de-synchronization, and contrast with other methods, these rusults have more easier. The research method of this article is computer simulation. The result from the computer simulation is better for learning the discharge of small world neural network, and providing the fair-weather theroretical basis for curing the Epilepsy and Parkinson. Main work in this thesis is that the de-synchronization of excitable neural network and the influence of the pulse stimulating parameters on the de-synchronization with the time-delay.To simulate study small world Hindmarsh-Rose (HR) neural network, and we can get that synchronization of neural network convers into the de-synchronization when parts of neurons are stimulated with a time-delay pulse current signal. The bigger the external pulse stimulating frequency is, the clearly phenomenon of de-synchronization. The external pulse stimulating frequency and external pulse intensity are both important for the network de-synchronization. The larger external pulse de-synchronization stimulation intensity of network is more evident than that of weaker stimulation intensity. At the same external pulse stimulation intensity, in the small coupling intensity neural network, the synchronization of neural network convers into the de-synchronization is more quickly. We also get that in the small Hindmarsh-Rose neural network, there exist the best stimulation interval and best period of continuous stimulation time when the other stimulation parameters remain certain.This study is useful to explore the theoretic mechanism for vagus nerve stimulation therapy for patients with refractory epilepsy; and useful to offer some warranties for selecting stimulation parameters in vagus nerve stimulation therapy for patients with refractory epilepsy. Biological neural networks the problem of synchronous oscillation in essence,is a non-linear coupling between the oscillator and phase-locking problem. Synchronization is likely to encode the information nervous system manifestations of time and space,is considered the basis of memory. Therefore,these results can promote people know neuron encoding to information,and cognize and reveal the secret of brain working principle.