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A Pulse-Coupled Network of SOM

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Neural Information Processing (ICONIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5864))

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Abstract

In this paper, we present a resonate-and-fire type spiking neuron model and analyze its stability of synchronization phenomena to an input spike train. We also present a parameter update rule to memorize a period of input spike train and analyze its pull-in process. Then we present a pulse-coupled network of the proposed model and show that the proposed network and a Kohonen’s SOM has similar functions. And we make comparisons to a network of another resonate-and-fire type neuron model and show superiority of the proposed model.

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Author information

Authors and Affiliations

  1. Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka, Osaka, 560-8531

    Kai Kinoshita & Hiroyuki Torikai

Authors
  1. Kai Kinoshita
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  2. Hiroyuki Torikai
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  2. School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  3. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

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© 2009 Springer-Verlag Berlin Heidelberg

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Kinoshita, K., Torikai, H. (2009). A Pulse-Coupled Network of SOM. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_41

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  • DOI: https://doi.org/10.1007/978-3-642-10684-2_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10682-8

  • Online ISBN: 978-3-642-10684-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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