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基于平均场的全局耦合神经集群的去同步控制 被引量:1

Desynchronization control of globally mean field coupled neural networks
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摘要 针对一些疾病中出现的神经元放电的病理性同步,本文提出了一种去同步控制方法.在神经元受到电流和噪声的刺激引发放电时,引入平均场对神经元集群进行点对点的全局耦合,将会使神经集群达到同步状态.在此过程中将平均场进行滤波以及线性处理反馈回神经集群,可以控制集群去同步.通过对集群参数与控制器参数分别研究,表明这种控制方法对噪声,耦合强度,控制器参数都具有鲁棒性.而且此方法有实用性,易临床实现,可以用作深度大脑刺激的新颖控制方法来治疗精神疾病. Desynchronization control method is proposed due to the abnormal synchronized firings in some mental diseases. The introduction of mean field coupling to connect neuron to neuron will make neural population have synchronous spike when neurons are under stimuli of current and noise. When filter the mean field of population and linearly feed back to the network, network can be controlled to the state of desynchronization. After investigating the parameters of both population and controller, it has been proved that this control method effects robust to noise, coupling strength and parameters of controller, and it is practical and can be easily clinically implemented. Thus it can be used as a novel deep brain stimulation control method to treat mental diseases.
出处 《天津理工大学学报》 2015年第3期12-15,21,共5页 Journal of Tianjin University of Technology
基金 国家自然科学基金(61372010 61172009 61374182 61302002) 天津市自然科学基金(12JCZDJC21100 13JCQNJC03700)
关键词 全局耦合 平均场 去同步控制 精神疾病 globally coupled mean field desynchronization control mental diseases
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