Impact of network topology on decision-making
文献类型：期刊论文
| 作者 | Lu, Suojun ; Fang, Jian'an ; Guo, Aike ; Peng, Yueqing |
| 刊名 | NEURAL NETWORKS
 |
| 出版日期 | 2009 |
| 卷号 | 22期号:1页码:30-40 |
| 关键词 | Complex network Small-world Scale-free Decision-making Recurrent model COMPLEX NETWORKS PERCEPTUAL DECISION NEURAL BASIS DISCRIMINATION NEUROBIOLOGY MODEL DYNAMICS NEURONS CORTEX CHOICE |
| ISSN号 | 0893-6080 |
| 通讯作者 | Peng, YQ (reprint author), Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Neurosci, 320 Yueyang Rd, Shanghai 200031, Peoples R China,yqpeng@ion.ac.cn |
| 英文摘要 | The dynamical behaviors of a neural system are strongly influenced by its network Structure. The present Study investigated how the network Structure influences decision-making behaviors in the brain. We considered a recurrent network model with four different topologies, namely, regular, random, small-world and scale-free. We found that the small-world network has the best performance in decision-making for low noise, whereas the random network is most robust when noise is strong. The four networks also exhibit different behaviors in the case of neuronal damage. The performances of the regular and the small-world networks are severely degraded in distributed damage, but not in Clustered damage. The random and the scale-free networks are, oil the other hand, quite robust to both types of damage. Furthermore, the small-world network has the best performance in strong distributed damage. (C) 2008 Elsevier Ltd. All rights reserved. |
| 学科主题 | Computer Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2012-07-23 |
| 源URL | [http://ir.sibs.ac.cn/handle/331001/1686]  |
| 专题 | 上海神经科学研究所_神经所(总) |
| 推荐引用方式 GB/T 7714 | Lu, Suojun,Fang, Jian'an,Guo, Aike,et al. Impact of network topology on decision-making[J]. NEURAL NETWORKS,2009,22(1):30-40. |
| APA | Lu, Suojun,Fang, Jian'an,Guo, Aike,&Peng, Yueqing.(2009).Impact of network topology on decision-making.NEURAL NETWORKS,22(1),30-40. |
| MLA | Lu, Suojun,et al."Impact of network topology on decision-making".NEURAL NETWORKS 22.1(2009):30-40. |
入库方式： OAI收割
来源：上海神经科学研究所
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