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Spike Sorting Method Based on Two-Stage Radial Basis Function Networks

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Advances in Computational Science and Engineering (FGCN 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 28))

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Abstract

In this paper, 2-stage Radial Basis Function (RBF) Network method is used for neural spike sorting. Firstly, raw signals are obtained from Neural Signal Simulator, and added white noise ranged from -10dB to -40dB. Secondly, spikes are detected out with matched filter from signals. Lastly, 2-stage RBF networks are constructed and the spikes are sorted using RBF networks. The experiments show that 2-stage RBF network is an effective tool for neural spike sorting.

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Author information

Authors and Affiliations

  1. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, 310027, China

    Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian Zhang, Qingbo Wang & Xiaoxiang Zheng

  2. College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China

    Jianhua Dai & Xiaochun Liu

  3. College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China

    Shaomin Zhang, Huaijian Zhang, Qingbo Wang & Xiaoxiang Zheng

  4. Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China

    Shaomin Zhang, Huaijian Zhang, Qingbo Wang & Xiaoxiang Zheng

Authors
  1. Jianhua Dai
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  2. Xiaochun Liu
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  3. Shaomin Zhang
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  4. Huaijian Zhang
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  5. Qingbo Wang
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  6. Xiaoxiang Zheng
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Editor information

Editors and Affiliations

  1. Hannam University, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

  3. Department of Computer Science and Engineering, Masan, Kyungnam University, Kyungnam, South Korea

    Jong Hyuk Park

  4. National Chung Cheng University, Chiayi County, Taiwan

    Alan Chin-Chen Chang

  5. University of Western Macedonia, West Macedonia, Greece

    Thanos Vasilakos

  6. University of Western Sydney, Penrith South, NSW, Australia

    Yan Zhang

  7. University of Limoges/CNRS, Site Jidé, 83 rue d’Isle, 87000, Limoges, France

    Damien Sauveron

  8. University of Plymouth, Plymouth, UK

    Xingang Wang

  9. Wonkwang University, Iksan Chonbuk, South Korea

    Young-Sik Jeong

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dai, J., Liu, X., Zhang, S., Zhang, H., Wang, Q., Zheng, X. (2009). Spike Sorting Method Based on Two-Stage Radial Basis Function Networks. In: Kim, Th., et al. Advances in Computational Science and Engineering. FGCN 2008. Communications in Computer and Information Science, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10238-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-10238-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10237-0

  • Online ISBN: 978-3-642-10238-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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