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Qualitative and quantitative aspects of synchronization in coupled CA1 pyramidal neurons

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  • Wang, Jing
  • Ye, Weijie
  • Liu, Shenquan
  • Lu, Bo
  • Jiang, Xiaofang

Abstract

We investigated the synchronization phenomena of two electrically coupled CA1 pyramidal neurons on the basis of the coupling strength and capacitance. By means of the distribution of phase differences and ISI-distances, synchronization could be described from the qualitative and quantitative aspects, respectively. Firstly, based on the distribution of phase differences, asynchronous and multiple synchronous states such as in-phase and out-of-phase were observed. We found that both of coupling strength and capacitance could induce the transitions of synchronization states, and the distribution of synchronization states was illustrated in a two-dimensional parameter plane. Secondly, synchronization states were quantitatively indicated by ISI-distance. These results could exhibit the level of the same synchronization states arising in different parameter ranges, complementing the deficiency of phase differences.

Suggested Citation

  • Wang, Jing & Ye, Weijie & Liu, Shenquan & Lu, Bo & Jiang, Xiaofang, 2016. "Qualitative and quantitative aspects of synchronization in coupled CA1 pyramidal neurons," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 32-38.
    • Handle: RePEc:eee:chsofr:v:93:y:2016:i:c:p:32-38
    DOI: 10.1016/j.chaos.2016.09.024
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    References listed on IDEAS

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    1. Nguyen, Le Hoa & Hong, Keum-Shik, 2011. "Synchronization of coupled chaotic FitzHugh–Nagumo neurons via Lyapunov functions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 590-603.
    2. Pieter R. Roelfsema & Andreas K. Engel & Peter König & Wolf Singer, 1997. "Visuomotor integration is associated with zero time-lag synchronization among cortical areas," Nature, Nature, vol. 385(6612), pages 157-161, January.
    3. Wang, Qingyun & Lu, Qishao & Chen, GuanRong & feng, Zhaosheng & Duan, LiXia, 2009. "Bifurcation and synchronization of synaptically coupled FHN models with time delay," Chaos, Solitons & Fractals, Elsevier, vol. 39(2), pages 918-925.
    4. Wang, Jing & Liu, Shenquan & Liu, Xuanliang, 2014. "Quantification of synchronization phenomena in two reciprocally gap-junction coupled bursting pancreatic β-cells," Chaos, Solitons & Fractals, Elsevier, vol. 68(C), pages 65-71.
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