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基于神经冲动序列统计评估的重复放电机制的激发参数

Excitation parameters of the repetitive firing mechanism from a statistical evaluation of nerve impulse trains.

作者信息

Fohlmeister J F

出版信息

Biol Cybern. 1979 Oct 3;34(4):227-32. doi: 10.1007/BF00337429.

Abstract

Repetitive firing of single tonic neurones is modeled to include in detail both membrane excitation kinetics and electrotonic effects due to membrane non-uniformities in the impulse encoder region. The model is evaluated dynamically and compared with similar data obtained from the crayfish stretch receptor neuron. Two dynamic techniques utilizing small amplitude sinusoidal signals are employed. One technique is used to fix the values of two parameters which relate to the electrotonic control of membrane potential in the interspike interval and to the relaxation time of the K-conductance during repetitive firing. The other technique is employed as a consistency check. The dynamics are particularly sensitive to the K-channel relaxation time in the interspike interval.

摘要

对单紧张性神经元的重复放电进行建模,以详细纳入冲动编码器区域中膜不均匀性所导致的膜兴奋动力学和电紧张效应。对该模型进行动态评估,并与从小龙虾牵张感受器神经元获得的类似数据进行比较。采用了两种利用小幅度正弦信号的动态技术。一种技术用于确定两个参数的值,这两个参数分别与峰间间隔中膜电位的电紧张控制以及重复放电期间钾电导的弛豫时间有关。另一种技术用作一致性检查。动力学对峰间间隔中的钾通道弛豫时间特别敏感。

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