生物神经系统的编码特性和小世界特性  

The Code Property of Biology Neural System and Small World Network

作　　者：谢彬[1] 刘深泉[1] 李炎烽[1] 陈树春[1] 

机构地区：[1]华南理工大学理学院应用数学系,广东广州510640

出　　处：《生物数学学报》2009年第3期507-512,共6页Journal of Biomathematics

摘　　要：本文主要研究视网膜神经系统和七鳃鳗脊椎神经系统的电位发放特性和网络特性,首先利用抑制神经系统的WinnerLess Competition(WLC)模型,分析视网膜和七鳃鳗脊椎神经系统的电位发放。得到视网膜神经元和脊椎神经元的电位发放模式。然后利用Watts-Strogatz小世界网络的特性,分析两个生物神经系统的群集系数和特征路长,说明这些生物系统神经元之间的信息传递具有小世界网络的特性。The paper studies action potential and network properties of retina neural system and lamprey neural system. The inhibited neural systems, WinnerLess Competition（WLC）model, are used here to study the potential spike of retina and lamprey neural system and we obtain the pattern of their electric spike. With help of properties of Watts-Strogatz small world network,the indexes of clustering coefficient and characteristic length of these two biology systems tell us the massage transmitting of these two neural systems have properties of small world network.

关 键 词：小世界模型 视网膜 七鳃鳗 群集系数 特征路长 

分 类 号：Q612[生物学—生物物理学] O29[理学—应用数学]