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International Conference on Neural Information Processing

ICONIP 2009: Neural Information Processing pp 118–125Cite as

Decoding Characteristics of D/A Converters Based on Spiking Neurons

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5863))

Abstract

This paper studies spike-based D/A converters and effects of a control parameter on the worst error for the encoding. First, we introduce spike-based A/D converters and analyze their dynamics through 1-D linear map. Next, we present spike-based D/A converters whose architectures is based on inverse operation of the A/D converters. We consider effects of a parameter for decoding function. A simple circuit model of the D/A converter is also presented.

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Author information

Authors and Affiliations

  1. Hosei University, Koganei, Tokyo, 184-8584, Japan

    Masao Takiguchi & Toshimichi Saito

Authors
  1. Masao Takiguchi
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  2. Toshimichi Saito
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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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Takiguchi, M., Saito, T. (2009). Decoding Characteristics of D/A Converters Based on Spiking Neurons. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10677-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-10677-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10676-7

  • Online ISBN: 978-3-642-10677-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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