A study on dynamic characteristics of the hippocampal two-dimension reduced neuron model under current conductance changes

  • Authors:

  • Yueping Peng;Xinxu Wang;Xiaohua Qiu

  • Affiliations:

  • Engineering University of Chinese Armed Police Force, Xi'an, China,Xi'an Jiaotong University, Xi'an, China;Engineering University of Chinese Armed Police Force, Xi'an, China;Engineering University of Chinese Armed Police Force, Xi'an, China

  • Venue:
  • ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2013

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Abstract

In the paper, based on the computer simulation, the hippocampal two-dimension reduced neuron model is taken as the object, and its dynamic bifurcation characteristics are analyzed and discussed in detail by the neurodynamic analysis methods. When the maximum conductance of the instantaneous sodium channel and the maximum conductance of the delay-rectified potassium channel are changed, the neuron model undergoes the supercritical Andronov-Hopf bifurcation from the rest state to the continuous discharge state. The neuron model is a resonator with the monostable state and has the common dynamics of the resonator. This investigation is helpful to know and investigate deeply the dynamic characteristics and the bifurcation mechanism of the hippocampal neuron by the computer simulation.