Influence of Selective Edge Removal and Refractory Period in a Self-Organized Critical Neuron Model  

作　　者：LIN Min ZHAO Gang CHEN Tian-Lun 

机构地区：[1]Department of Mathematics, Ocean University of China, Qingdao 266071, China [2]Transportation Engineering Department, Huaiyin Institute of Technology, Huai＇an, 223001 China [3]Department of Physics, Nankai University, Tianjin 300071, China

出　　处：《Communications in Theoretical Physics》2009年第8期351-355,共5页理论物理通讯（英文版）

基　　金：Supported by National Natural Science Foundation of China under Grant No.10675060;the Doctoral Foundation of Ministry of Education of China under Grant No.2002055009

摘　　要：A simple model for a set of integrate-and-fire neurons based on the weighted network is introduced. By considering the neurobiological phenomenon in brain development and the difference of the synaptic strength, we construct weighted networks develop with link additions and followed by selective edge removal. The network exhibits the small-world and scale-free properties with high network efficiency. The model displays an avalanche activity on a power-law distribution. We investigate the effect of selective edge removal and the neuron refractory period on the self-organized criticality of the system.

关 键 词：self-organized criticality edge removal refractory period 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] O19[自动化与计算机技术—控制科学与工程]