生物神经元系统同步转迁动力学问题

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doi:10.6052/1000-0992-12-023

北京航空航天大学航空科学与工程学院, 北京100191

基金项目:国家自然科学基金面上项目(11172017)资助

详细信息

作者简介:
王青云, 现任北京航空航天大学动力学与控制学科教授, 博士生导师. 近年来在非线性神经动力学和复杂网络动力学研究领域取得了有特色的研究成果. 曾先后主持国家自然基金面上项目3 项, 教育部新世纪人才支持计划项目1 项, 作为主要参与人参加国家自然基金重点项目1 项以及主持其它省部级项目等多项课题. 已在国内外核心学术期刊发表学术论文70 余篇, 论文被SCI 收录56 篇,研究成果被国内外学术界同行高度评价和广泛引用, 研究成果被SCI 他引600 余次. 2008 年由科学出版社出版学术著作一本. 2011 年入选教育部新世纪人才支持计划, 2009 年获全国百篇优秀博士论文提名奖, 2009 年获内蒙古自治区第七届青年科技奖, 2008 年入选内蒙古自治区321 人才第2 层次人选.

通讯作者:
王青云

中图分类号:O415.6
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- 被引次数:0
出版历程
- 收稿日期:2012-02-28
- 修回日期:2012-02-28
- 刊出日期:2013-01-24

ADVANCES OF SYNHRONIZATION TRANSITION IN NUERONAL NETWORKS

School of Aeronautics Science and Engineering, Beihang University, Beijing 100191, China

Funds:The project was supported by the National Natural Science Foundation of China (11172017).

More Information

Corresponding author:WANG Qingyun

摘要

摘要:生物神经元系统中存在着丰富的同步模式, 不同同步模式的实现条件已经被广泛地研究. 然而, 不同同步模式之间的转迁是神经动力学研究领域的难点问题, 近年来在此方面开展了许多相应的研究工作. 本文主要阐述近年来在神经元系统同步转迁动力学方面的研究进展, 揭示神经元系统在耦合、时滞和网络拓扑等不同参数作用下呈现的复杂的同步转迁动力学行为及其可能的动力学机制. 最后总结研究进展的内容并提出对同步动力学今后研究的展望.
- 神经元系统/
- 耦合/
- 时滞/
- 同步/
- 转迁动力学
Abstract:There exist rich synchronization modes in biological neuronal systems, and conditions to realize different synchronizations have been investigated extensively. However, it is difficult to study the transitions among different synchronizations, though many efforts have been made. This paper mainly focuses on recent advances of synchronization transitions in neuronal systems. Complicated synchronization transitions and its possible mechanism are uncovered when the neuronal systems are subjected to different conditions such as coupling, delay and network topology. Finally, conclusion is drawn and some outlooks of future research are suggested.
- neuronal system/
- coupling/
- delay/
- synchronization/
- transition dynamics

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参考文献 (63)

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