非线性时滞反馈实现离散神经元网络的去同步化

NONLINEAR DELAYED FEEDBACK FOR EFFECTIVE DESYNCHRONIZATION OF DISCRETE NEURAL NETWORK

采用非线性时滞反馈实现离散神经元网络的去同步化控制.对于由映射神经元模型构建的神经网络,调节神经元之间的连接强度可以实现网络的混沌簇放电同步.在神经元的快变量中施加非线性时滞反馈信号可以实现网络的完全去同步化,且不改变神经元本身的放电特性.与线性时滞反馈相比,非线性时滞反馈能够实现强连接神经网络的去同步化,且对于参数的变化具有鲁棒性.

Control of desynchronization in discrete neural networks by nonlinear delayed feedback was studied. The network consisting of Map-based neurons could get chaotic bursting synchronization through adjusting the coupling strength between the cells. Once nonlinear delayed feedback signals were applied into the fast variables of neurons, a complete desynchronization was achieved and neuron＇s inherent bursting characteristic was restored. Compared with linear delayed feedback control, the method was effective even in the case of strong coupling and robust against parameter variations.