| 生物神经元系统同步转迁动力学问题 |
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| 引用本文： | 王青云,张红慧. 生物神经元系统同步转迁动力学问题[J]. 力学进展, 2013, 43(1): 149-162. DOI: 10.6052/1000-0992-12-023 |
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| 作者姓名： | 王青云 张红慧 |
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| 作者单位： | 北京航空航天大学航空科学与工程学院, 北京100191 |
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| 基金项目： | 国家自然科学基金面上项目(11172017)资助~~ |
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| 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.
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| 关 键 词： | 神经元系统 耦合 时滞 同步 转迁动力学 |
| 收稿时间： | 2012-02-28 |
| 修稿时间： | 2012-02-28 |
ADVANCES OF SYNHRONIZATION TRANSITION IN NUERONAL NETWORKS |
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| WANG Qingyun,ZHUANG Honghui. ADVANCES OF SYNHRONIZATION TRANSITION IN NUERONAL NETWORKS[J]. Advances in Mechanics, 2013, 43(1): 149-162. DOI: 10.6052/1000-0992-12-023 |
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| Authors: | WANG Qingyun ZHUANG Honghui |
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| Affiliation: | School of Aeronautics Science and Engineering, Beihang University, Beijing 100191, China |
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| 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. |
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| Keywords: | neuronal system coupling delay synchronization transition dynamics |
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