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单离子通道神经元电路的动力学分析方法

杨梓悦 吴静 李乐桐

徐潇审, 姜宏旭, 肖朝升等 . 面向遥感图像高速压缩的多FPGA处理器设计[J]. 北京航空航天大学学报, 2013, 39(3): 361-365.
引用本文: 杨梓悦,吴静,李乐桐. 单离子通道神经元电路的动力学分析方法[J]. 北京航空航天大学学报,2025,51(3):985-991 doi: 10.13700/j.bh.1001-5965.2023.0144
Xu Xiaoshen, Jiang Hongxu, Xiao Chaoshenget al. Design of multi-FPGAs processor based system for remote sensing image high-speed compression[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(3): 361-365. (in Chinese)
Citation: YANG Z Y,WU J,LI L T. Dynamic analysis method of single ion channel neuron circuit[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(3):985-991 (in Chinese) doi: 10.13700/j.bh.1001-5965.2023.0144

单离子通道神经元电路的动力学分析方法

doi: 10.13700/j.bh.1001-5965.2023.0144
基金项目: 北京市自然科学基金(Z220017)
详细信息
    通讯作者:

    E-mail:wujing06@buaa.edu.cn

  • 中图分类号: TM133

Dynamic analysis method of single ion channel neuron circuit

Funds: Beijing Municipal Natural Science Foundation (Z220017)
More Information
  • 摘要:

    神经网络是由大量神经元通过突触联结而成的复杂网络系统,神经元的合理建模与分析是理解神经网络的功能及动力学特征的关键,对于推动脑科学与类脑科学研究具有重要价值。利用细胞膜电容和钾离子忆阻器分别表征神经元对电荷的存储和记忆特性,在Hodgkin-Huxley单离子通道神经元经典电路模型的基础上建立介观电路模型。使用经典电路理论和介观量子电路理论,在给予正弦激励下推导神经元细胞膜电压的响应表达式。计算结果表明:神经元细胞膜电压峰-峰值和迟滞回线的面积随激励频率的增大先增大后减小。在经典电路模型中,神经元细胞膜电压峰-峰值和迟滞回线面积达到最大值的频率与外部激励源的幅值有关,而在介观电路模型中,其仅与神经元电路参数有关,不依赖外部激励,更能表征神经元自身的特性。神经元的介观电路模型有益于揭示神经网络的动力学机理,推动脑科学理论体系的发展。

     

  • 图 1  HH单离子通道神经元的经典电路模型

    Figure 1.  Classical circuit model of HH single ion channel neuron

    图 2  HH单离子通道神经元的介观电路模型

    Figure 2.  Mesoscopic circuit model of HH single ion channel neuron

    图 3  正弦激励下HH单离子通道神经元模型的动力学响应

    Figure 3.  Dynamic response of HH single ion channel neuron model under sinusoidal excitation

    图 4  经典电路模型中细胞膜电压峰-峰值Vpp和稳态迟滞回线面积S随外部激励的频率f和幅值I0的变化

    Figure 4.  Variation of voltage peak-peak value of membrane Vpp and its steady-state hysteresis loop area S with frequency f and amplitude I0 of external excitation in classical model

    图 5  介观电路模型中细胞膜电压峰-峰值Vpp和稳态迟滞回线面积S随外部激励的频率f和幅值I0的变化

    Figure 5.  Variation of voltage peak-peak value of membrane Vpp and its steady-state hysteresis loop area S with frequency f and amplitude I0 of external excitation in mesoscopic model

    图 6  介观电路模型的本征频率feigen与细胞膜电容C的关系

    Figure 6.  Dependence of intrinsic frequency feigen on membrane capacitance C in mesoscopic circuit model

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出版历程
  • 收稿日期:  2023-03-24
  • 录用日期:  2023-11-16
  • 网络出版日期:  2023-11-27
  • 整期出版日期:  2025-03-27

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