文献类型：期刊文献

英文题名：Spatiotemporal Behavior of Small-World Neuronal Networks Using a Map-Based Model

作者：Qu, Jingyi[1];Wang, Rubin[2];Yan, Chuankui[3];Du, Ying[2]

机构：[1]Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Coll Elect Informat Engn, Tianjin 300300, Peoples R China;[2]East China Univ Sci & Technol, Inst Cognit Neurodynam, Sch Sci, Shanghai 200237, Peoples R China;[3]Hangzhou Normal Univ, Sch Sci, Hangzhou 310012, Zhejiang, Peoples R China

年份：2017

卷号：45

期号：2

起止页码：689

外文期刊名：NEURAL PROCESSING LETTERS

收录：;EI(收录号：20163802814484);WOS:【SCI-EXPANDED(收录号:WOS:000398721400019)】；

基金：The work is supported by National Natural Science Foundation of China (11402294,11232005) and Zhejiang Provincial Natural Science Foundation (Q14A020013).

语种：英文

外文关键词：Small-world neuronal network; Oscillations and synchrony; Firing patterns; Map-based model

摘要：In this paper, the dynamics of a map-based model is proposed firstly. It is a simple model which can not only reproduce rich behaviors of biological neurons but also compute efficiently. Then, the dynamics of two coupled maps that model the behavior of two electrically coupled neurons is discussed. By tuning the coupling strength, synchronization of two spiking or bursting neurons are simulated. Furthermore, the spatiotemporal behavior of a small-world neuronal network using map-based model is studied. Detailed investigations reveal that the collective dynamics of neuronal activity will be affected by varying some key parameters, such as the coupling strength of neurons, connection probability and the number of nearest neighbor in small-world topology. Our study suggests that the map-based model will give us a new opportunity to reproduce the real biological network containing a large number of neurons.