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

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

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ホスト出版物のサブタイトルEngineering the Future of Biomedicine, EMBC 2009
出版者IEEE Computer Society
ページ6806-6809
ページ数4
ISBN(印刷物)9781424432967
DOI
出版物ステータスPublished - 2009 1 1
イベント31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
継続期間: 2009 9 22009 9 6

出版物シリーズ

名前Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Conference

Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
United States
Minneapolis, MN
期間09/9/209/9/6

ASJC Scopus subject areas

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

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  • これを引用

    Kawaguchi, M., Mino, H., Momose, K., & Durand, D. M. (2009). 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 (pp. 6806-6809). [5333973] (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009). IEEE Computer Society. https://doi.org/10.1109/IEMBS.2009.5333973