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Effect of Persistent Sodium Current on Neuronal Activity

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Advances in Neural Computation, Machine Learning, and Cognitive Research (NEUROINFORMATICS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 736))

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Abstract

In epilepsy, the number of persistent sodium (NaP) channels increases. To study their effects on neuronal excitability we applied dynamic-clamp (DC). We have revealed that NaP current decreases rheobase, promotes depolarization block (DB) and changes membrane potential between spikes. Bifurcation analysis of a Hodgkin-Huxley-like neuron reveals that NaP current shifts saddle-node and Hopf bifurcations which correspond to the rheobase and DB, in agreement with experiments. By shifting DB, NaP current can make an antiepileptic effect via excitatory neurons.

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Acknowledgments

This work was supported by the Russian Science Foundation (Project 16-15-10201).

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Authors and Affiliations

  1. Ioffe Institute, Saint-Petersburg, Russia

    E. Y. Smirnova & A. V. Chizhov

  2. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, Saint-Petersburg, Russia

    E. Y. Smirnova, A. V. Zefirov, D. V. Amakhin & A. V. Chizhov

  3. Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

    A. V. Zefirov

Authors
  1. E. Y. Smirnova
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  2. A. V. Zefirov
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  3. D. V. Amakhin
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  4. A. V. Chizhov
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Corresponding author

Correspondence to E. Y. Smirnova .

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Editors and Affiliations

  1. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Boris Kryzhanovsky

  2. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Witali Dunin-Barkowski

  3. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Vladimir Redko

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Smirnova, E.Y., Zefirov, A.V., Amakhin, D.V., Chizhov, A.V. (2018). Effect of Persistent Sodium Current on Neuronal Activity. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research. NEUROINFORMATICS 2017. Studies in Computational Intelligence, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-66604-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-66604-4_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66603-7

  • Online ISBN: 978-3-319-66604-4

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