Effects of network topology on decision-making in a biological network model

摘要：

The topology of a network often plays a crucial role in determining its dynamical features.The present study investigated how the network structure influences decision-making behaviors in the brain.We construct a recurrent network model to simulate the decisionmaking process of brain with three topological networks: regular,random,and small-world.We found that the regular and the small-world networks show significant better performance of decision-making than that in the random network when the internal noise of the networks is low.However,following the increase of the internal noise,the random network,instead of two other networks,shows better ability to resist the noise.Together,our results indicate that network topology significantly influence the network behaviors in our model of decision-making.

关键词： complex network small-world decision-making recurrent model

作者: Suojun Lu QingYing Miao Jian’an Fang

作者单位: College of Information Science & Technology,Donghua University

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）