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Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

In this paper, the chaos synchronization between two delayed neuron chaotic systems with linearly bi-directional coupling is investigated. Some generic criterion is developed for choosing the appropriate coupling parameters to ensure global chaos synchronization based on Krasovskii-Lyapunov theory. Finally, numerical results illustrate the effectiveness of the criterion.

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Author information

Authors and Affiliations

  1. School of Software Engineering, Chongqing University, 400030, China

    Xiaohong Zhang

  2. Department of Computer Science and Engineering, Chongqing University, 400030, China

    Xiaohong Zhang & Shangbo Zhou

Authors
  1. Xiaohong Zhang
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  2. Shangbo Zhou
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiaofeng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, X., Zhou, S. (2005). Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_55

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  • DOI: https://doi.org/10.1007/11427391_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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