Self-organized Criticality in an Integrate-and-Fire Neuron Model Based on Modified Aging Networks
Self-organized Criticality in an Integrate-and-Fire Neuron Model Based on Modified Aging Networks作者机构:Department of Mathematics Ocean University of China Qingdao 266071 China First Institute of Oceanography State Oceanic Administration Qingdao 266061 China Department of Physics Nankai University Tianjin 300071 China
出 版 物:《Communications in Theoretical Physics》 (理论物理通讯(英文版))
年 卷 期:2007年第47卷第4期
页 面:759-764页
核心收录:
学科分类:0711[理学-系统科学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 0704[理学-天文学] 081101[工学-控制理论与控制工程] 0701[理学-数学] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0702[理学-物理学]
主 题:self-organized criticality avalanche aging
摘 要:Based on an integrate-and-fire mechanism, we investigate self-organized criticality of a simple neuron model on a modified BA scale-free network with aging nodes. In our model, we find that the distribution of avalanche size follows power-law behavior. The critical exponent τ depends on the aging exponent α. The structures of the network with aging of nodes change with an increase of α. The different topological structures lead to different behaviors in models of integrate-and-fire neurons.