Stochastic resonance can enhance information transmission of supra-threshold neural signals

Minato Kawaguchi, Hiroyuki Mino, Keiko Momose, Dominique M. Durand

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Stochastic resonance (SR) has been shown to improve detection of sub-threshold signals with additive uncorrelated background noise, not only in a single hippocampal CA1 neuron model, but in a population of hippocampal CA1 neuron models (Array-Enhanced Stochastic Resonance ; AESR). However, most of the information in the CNS is transmitted through supra-threshold signals and the effect of stochastic resonance in neurons on these signals is unknown. Therefore, we investigate through computer simulations whether information transmission of supra-threshold input signal can be improved by uncorrelated noise in a population of hippocampal CA1 neuron models by supra-threshold stochastic resonance (SSR). The mutual information was estimated as an index of information transmission via total and noise entropies from the inter-spike interval (ISI) histograms of the spike trains generated by gathering each of spike trains in a population of hippocampal CA1 neuron models at N=1, 2, 4, 10, 20 and 50. It was shown that the mutual information was maximized at a specific amplitude of uncorrelated noise, i.e., a typical curve of SR was observed when the number of neurons was greater than 10 with SSR. However, SSR did not affect the information transfer with a small number of neurons. In conclusion, SSR may play an important role in processing information such as memory formation in a population of hippocampal neurons.

    Original languageEnglish
    Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
    Pages6806-6809
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN
    Duration: 2009 Sep 22009 Sep 6

    Other

    Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
    CityMinneapolis, MN
    Period09/9/209/9/6

    Fingerprint

    Neurons
    Noise
    Population
    Entropy
    Automatic Data Processing
    Computer Simulation
    Data storage equipment
    Computer simulation

    Keywords

    • Action potential
    • Hodgkin-Huxley model
    • Homogeneous poisson process
    • Information-theoretic analysis
    • Monte Carlo simulation
    • Numerical method
    • Supra-threshold stochastic resonance
    • Synaptic noise

    ASJC Scopus subject areas

    • Cell Biology
    • Developmental Biology
    • Biomedical Engineering
    • Medicine(all)

    Cite this

    Kawaguchi, M., Mino, H., Momose, K., & Durand, D. M. (2009). Stochastic resonance can enhance information transmission of supra-threshold neural signals. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 6806-6809). [5333973] https://doi.org/10.1109/IEMBS.2009.5333973

    Stochastic resonance can enhance information transmission of supra-threshold neural signals. / Kawaguchi, Minato; Mino, Hiroyuki; Momose, Keiko; Durand, Dominique M.

    Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 6806-6809 5333973.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kawaguchi, M, Mino, H, Momose, K & Durand, DM 2009, Stochastic resonance can enhance information transmission of supra-threshold neural signals. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5333973, pp. 6806-6809, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, 09/9/2. https://doi.org/10.1109/IEMBS.2009.5333973
    Kawaguchi M, Mino H, Momose K, Durand DM. Stochastic resonance can enhance information transmission of supra-threshold neural signals. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 6806-6809. 5333973 https://doi.org/10.1109/IEMBS.2009.5333973
    Kawaguchi, Minato ; Mino, Hiroyuki ; Momose, Keiko ; Durand, Dominique M. / Stochastic resonance can enhance information transmission of supra-threshold neural signals. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 6806-6809
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