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Suprathreshold Stochastic Resonance in Single Neuron Using Sinusoidal Wave Sequence

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Book cover Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4221))

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Abstract

This paper discussed suprathreshold stochastic resonance (SSR) in a HH model forced the periodic input. Temporal sequences of neuronal action potentials were transformed into the sinusoidal wave sequences and the sequences were analyzed by signal-to-noise ratio (SNR) in order to investigate the spectrum characteristic of a Hodgkin-Huxley (HH) neuron. The transformation reflected the pure information of interspike interval and provided a new tool to observe the suprathreshold behavior induced by periodic input. In contrast with the previous SSR in network devices, SSR of single neuron is observed.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Key Laboratory of Biomedical, Engineering of Ministry of Education of China, Zhejiang University, 310027, Hangzhou, P.R. China

    Jun Liu, Jian Wu & Zhengguo Lou

Authors
  1. Jun Liu
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  2. Jian Wu
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  3. Zhengguo Lou
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., 710071, Xi’an, P.R. China

    Xin-bo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, J., Wu, J., Lou, Z. (2006). Suprathreshold Stochastic Resonance in Single Neuron Using Sinusoidal Wave Sequence. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_33

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  • DOI: https://doi.org/10.1007/11881070_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45901-9

  • Online ISBN: 978-3-540-45902-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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