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Phase Coding on the Large-Scaled Neuronal Population Subjected to Stimulation

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Advances in Natural Computation (ICNC 2006)

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

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Abstract

A stochastic nonlinear model of neuronal activity in a neuronal population is proposed in this paper, where the combined dynamics of phase and amplitude is taken into account. An average number density is introduced to describe collective behavior of neuronal population, and a firing density of neurons in the neuronal population is referred to be neural coding. The numerical simulations show that with a weaker stimulation, the response of the neuronal population to stimulation grows up gradually, the coupling configuration among neurons dominates the evolution of the average number density, and new neural coding emerges. Whereas, with a stronger stimulation, the neuronal population responds to the stimulation rapidly, the stimulation dominates the evolution of the average number density, and changes the coupling configuration in the neuronal population.

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Author information

Authors and Affiliations

  1. Institute for Brain Information Processing and Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China

    Rubin Wang & Jianhua Peng

  2. College of Information Science and Technology, Donghua University, Shanghai, 200051, China

    Rubin Wang & Xianfa Jiao

  3. School of Science, Hefei University of Technology, He fei, 230009, China

    Xianfa Jiao

Authors
  1. Rubin Wang
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  2. Xianfa Jiao
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  3. Jianhua Peng
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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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Wang, R., Jiao, X., Peng, J. (2006). Phase Coding on the Large-Scaled Neuronal Population Subjected to Stimulation. 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_34

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  • DOI: https://doi.org/10.1007/11881070_34

  • 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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