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Lognormal distribution of firing time and rate from a single neuron?

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Abstract

Even a single neuron may be able to produce significant lognormal features in its firing statistics due to noise in the charging ion current. A mathematical scheme introduced in advanced nanotechnology is relevant for the analysis of this mechanism in the simplest case, the integrate-and-fire model with white noise in the charging ion current.

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Acknowledgments

Discussions with Sergey Bezrukov (NIH) and György Buzsáki are appreciated.

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Authors and Affiliations

  1. Center for Learning and Memory, 1 University Station, Stop C7000, The University of Texas at Austin, Austin, TX, 78712-0805, USA

    Eszter A. Kish

  2. Department of Engineering Sciences, The Ångström Laboratory, Uppsala University, P. O. Box 534, 75121, Uppsala, Sweden

    Claes-Göran Granqvist

  3. Institute of Biophysics, Biological Research Centre of the Hungarian Academy of Sciences, Temesvári krt. 62, P. O. B. 521, Szeged, 6701, Hungary

    András Dér

  4. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843-3128, USA

    Laszlo B. Kish

Authors
  1. Eszter A. Kish
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  2. Claes-Göran Granqvist
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  3. András Dér
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  4. Laszlo B. Kish
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Correspondence to Laszlo B. Kish.

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Kish, E.A., Granqvist, CG., Dér, A. et al. Lognormal distribution of firing time and rate from a single neuron?. Cogn Neurodyn 9, 459–462 (2015). https://doi.org/10.1007/s11571-015-9332-6

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  • DOI: https://doi.org/10.1007/s11571-015-9332-6

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