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Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

This paper studies pulse-coupled networks of chaotic oscillators. The networks have a simple local connection structure and can exhibit global synchronization of chaos. Adjusting parameters appropriately, the synchronization can be achieved rapidly. We investigate synchronous time of the networks for various network parameters and topologies. The dynamics of the networks can be simplified into a return map which is given analytically. Using the return map, fast calculation for the synchronous time is possible.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and Media Eng., Musashi Institute of Technology, 1-28-1, Tamazutsumi, Setagaya, Tokyo, 158–8557, Japan

    Hidehiro Nakano

  2. Dept. of Electronics, Electrical and Computer Eng., Hosei University, 3-7-2, Kajino-cho, Koganei, Tokyo, 184–8584, Japan

    Toshimichi Saito

Authors
  1. Hidehiro Nakano
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  2. Toshimichi Saito
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Nakano, H., Saito, T. (2004). Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_173

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_173

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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