Self-organized criticality in a simple model of neurons based on small-world networks

被引：42
|
作者：
Lin, M [1 ]
Chen, TL
机构：
[1] Nankai Univ, Dept Phys, Tianjin 300071, Peoples R China
[2] CCAST, World Lab, Beijing 100080, Peoples R China
来源：
PHYSICAL REVIEW E | 2005年 / 71卷 / 01期
关键词：
D O I：
10.1103/PhysRevE.71.016133
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
A simple model for a set of interacting idealized neurons with small-world structure is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays power-law behavior of avalanche sizes and generates long-range temporal correlations and I If noise. More importantly, we find there are different avalanche dynamical behaviors for different 0, the density of short paths in the network.
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页数：5
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