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Periodic spiking by a pair of ionic channels

Author

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  • Ramírez-Piscina, L.
  • Sancho, J.M.

Abstract

Neuronal cells present periodic trains of localized voltage spikes involving a large amount of different ionic channels. A relevant question is whether this is a cooperative effect or it could also be an intrinsic property of individual channels. Here we use a Langevin formulation for the stochastic dynamics of a pair of Na and K ionic channels. These two channels are simple gated pore models where a minimum set of degrees of freedom follow standard statistical physics. The whole system is totally autonomous without any external energy input, except for the chemical energy of the different ionic concentrations across the membrane. As a result it is shown that a unique pair of different ionic channels can sustain membrane potential periodic spikes. The spikes are due to the interaction between the membrane potential, the ionic flows and the dynamics of the internal parts (gates) of each channel structures. The spike involves a series of dynamical steps being the more relevant one the leak of Na ions. Missing spike events are caused by the altered functioning of specific model parts. The time dependent spike structure is comparable with experimental data.

Suggested Citation

  • Ramírez-Piscina, L. & Sancho, J.M., 2018. "Periodic spiking by a pair of ionic channels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 345-354.
    • Handle: RePEc:eee:phsmap:v:505:y:2018:i:c:p:345-354
    DOI: 10.1016/j.physa.2018.03.075
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    References listed on IDEAS

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    1. Tuckwell, Henry C. & Wan, Frederic Y.M., 2005. "Time to first spike in stochastic Hodgkin–Huxley systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 427-438.
    2. Joshua H Goldwyn & Eric Shea-Brown, 2011. "The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-9, November.
    3. Lee, Kwonmoo & Sung, Wokyung, 2002. "Ion transport and channel transition in biomembranes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 315(1), pages 79-97.
    4. Laureano Ramírez-Piscina & José M. Sancho, 2018. "Physical properties of voltage gated pores," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(1), pages 1-9, January.
    5. Pawełek, K. & Kozak, John J. & Grzywna, Z.J., 2010. "Asynchronous motion and transport of K+ in the KcsA selectivity filter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3013-3022.
    6. X. J. Sun & J. Z. Lei & M. Perc & Q. S. Lu & S. J. Lv, 2011. "Effects of channel noise on firing coherence of small-world Hodgkin-Huxley neuronal networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 79(1), pages 61-66, January.
    7. Yu, Haitao & Galán, Roberto F. & Wang, Jiang & Cao, Yibin & Liu, Jing, 2017. "Stochastic resonance, coherence resonance, and spike timing reliability of Hodgkin–Huxley neurons with ion-channel noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 263-275.
    8. Goychuk, Igor & Hänggi, Peter, 2003. "The role of conformational diffusion in ion channel gating," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(1), pages 9-18.
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