[1]杨冬燕,张强,王星宇,等.突触噪声对神经元兴奋性调节的模型研究[J].中国医学物理学杂志,2020,37(4):480-484.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.015]
 YANG Dongyan,ZHANG Qiang,WANG Xingyu,et al.Model study of synaptic noise on neuronal excitability regulation[J].Chinese Journal of Medical Physics,2020,37(4):480-484.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.015]
点击复制

突触噪声对神经元兴奋性调节的模型研究()
分享到:

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第4期
页码:
480-484
栏目:
医学信号处理与医学仪器
出版日期:
2020-04-29

文章信息/Info

Title:
Model study of synaptic noise on neuronal excitability regulation
文章编号:
1005-202X(2020)04-0480-05
作者:
杨冬燕张强王星宇徐伟航戴跃
华东师范大学通信与电子工程学院, 上海 200241
Author(s):
YANG Dongyan ZHANG Qiang WANG Xingyu XU Weihang DAI Yue
School of Communication & Electronic Engineering, East China Normal University, Shanghai 200241, China
关键词:
突触噪声神经元动作电位膜振荡
Keywords:
Keywords: synaptic noise neuron action potential membrane oscillation
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2020.04.015
文献标志码:
A
摘要:
结合已有关于突触噪声输入下神经元放电形式现象的研究,建立一个类似生理条件下的运动神经元膜特性的数学模型。该模型再现了有无突触噪声两种情况下的神经元放电的基本形式,在含有噪声输入情况下再现了膜振荡的现象。在此基础上分别对上述两种情况神经元动作电位的个数、幅度以及阈值作了定量描述。与双斜坡刺激相比,兴奋性突触输入增加动作电位个数约为16个,但是兴奋阈值增加;抑制性突触输入减少动作电位个数约为19个,兴奋阈值减小。在抑制性噪声输入和混合突触输入的情况下,动作电位幅度增量明显比双斜坡刺激的要小,其平均值分别下降为0.68、0.33 mV。该数学模型能够很好地模拟电生理实验过程中神经元含有膜振荡的动作电位现象,这对后续电生理神经元的分析以及细胞放电的病理研究提供了手段与依据。
Abstract:
Abstract: A mathematical model of the membrane characteristics of motoneurons under similar physiological conditions is established based on the previous studies on the firing patterns of neurons under synaptic input. The established model reproduces the basic form of neuron firing in the two cases of with or without synaptic noise; and membrane oscillation was reproduced in the case of synaptic noise. On the basis of this, the number, amplitude and threshold of action potentials in the two cases are described quantitatively. Compared with double-ramp stimulation, the excitatory synaptic input increases the number of action potentials by about 16, but the excitation threshold is increased; while the inhibitory synaptic input decreases the number of action potentials by about 19, and the excitation threshold is decreased. In the case of the inhibitory and mixed synaptic inputs, the amplitude increment of action potential are significantly smaller than those at double-ramp stimulation, and the average values are decreased by 0.68 mV and 0.33 mV, respectively. The mathematical model can well simulate the neuron action potentials with membrane oscillation, which provides an approach and a basis for the subsequent analysis of electrophysiological neurons and the pathological study on cell firing.

相似文献/References:

[1]杨雨潼,刘深泉.FHN-ML电耦合神经元的发放模式和分岔分析[J].中国医学物理学杂志,2017,34(3):306.[doi:10.3969/j.issn.1005-202X.2017.03.018]
 [J].Chinese Journal of Medical Physics,2017,34(4):306.[doi:10.3969/j.issn.1005-202X.2017.03.018]
[2]易飞鸿,逯迈,陈凯. Hodgkin-Huxley神经元反转电势变化对动作电位的影响[J].中国医学物理学杂志,2018,35(10):1230.[doi:DOI:10.3969/j.issn.1005-202X.2018.10.024]
 YI Feihong,LU Mai,et al. Effects of reversal potential on action potential based on Hodgkin-Huxley model[J].Chinese Journal of Medical Physics,2018,35(4):1230.[doi:DOI:10.3969/j.issn.1005-202X.2018.10.024]
[3]王浩宇,李春舫,董霁,等.基于氢质子磁共振波谱技术研究L波段微波辐射对大鼠学习和记忆的影响[J].中国医学物理学杂志,2019,36(12):1373.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.002]
 WANG Haoyu,LI Chunfang,DONG Ji,et al.1H-proton magnetic resonance spectroscopy for studying effects of L-band microwave radiation on learning and memory functions of rats[J].Chinese Journal of Medical Physics,2019,36(4):1373.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.002]
[4]张明亮,张桂朋,王天怡,等.电磁防护仿生中的神经动作电位发放特性[J].中国医学物理学杂志,2022,39(2):241.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.019]
 ZHANG Mingliang,,et al.Firing characteristics of nerve action potential in electromagnetic protection bionics[J].Chinese Journal of Medical Physics,2022,39(4):241.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.019]
[5]张明亮,徐新阳,杨新梦,等.基于神经元的方波发生器设计及参数优化[J].中国医学物理学杂志,2022,39(5):590.[doi:DOI:10.3969/j.issn.1005-202X.2022.05.012]
 ZHANG Mingliang,,et al.Design of a neuron-based square wave generator and parameters optimization[J].Chinese Journal of Medical Physics,2022,39(4):590.[doi:DOI:10.3969/j.issn.1005-202X.2022.05.012]

备注/Memo

备注/Memo:
【收稿日期】2019-11-24 【作者简介】杨冬燕,硕士研究生,研究方向:神经生物信息仿真,E-mail: 2938552392@qq.com
更新日期/Last Update: 2020-04-29