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振荡、共振与噪声:灵活神经元模式生成的基础

Oscillations, resonances and noise: basis of flexible neuronal pattern generation.

作者信息

Braun Hans A, Voigt Karlheinz, Huber Martin T

机构信息

Laboratory of Neurodynamics, Institute of Physiology, University of Marburg, Deutschhausstr. 2, D-35037 Marburg, Germany.

出版信息

Biosystems. 2003 Sep;71(1-2):39-50. doi: 10.1016/s0303-2647(03)00108-4.

DOI:10.1016/s0303-2647(03)00108-4
PMID:14568205
Abstract

Modulation of neuronal impulse pattern is examined by means of a simplified Hodgkin-Huxley type computer model which refers to experimental recordings of cold receptor discharges. This model essentially consists of two potentially oscillating subsystems: a spike generator and a subthreshold oscillator. With addition of noise the model successfully mimics the major types of experimentally recorded impulse patterns and thereby elucidate different resonance behaviors. (1) There is a range of rhythmic spiking or bursting where the spike generator is strongly coupled to the subthreshold oscillator. (2) There is a pacemaker activity of more complex interactions where the spike generator has overtaken part of the control. (3) There is a situation where the two subsystems are decoupled and only resonate with the help of noise.

摘要

通过一个简化的霍奇金-赫胥黎型计算机模型来研究神经元冲动模式的调制,该模型参考了冷感受器放电的实验记录。这个模型主要由两个潜在振荡子系统组成:一个尖峰发生器和一个阈下振荡器。加入噪声后,该模型成功模拟了实验记录的主要冲动模式类型,从而阐明了不同的共振行为。(1)存在一系列节律性尖峰或爆发,此时尖峰发生器与阈下振荡器强烈耦合。(2)存在一种更复杂相互作用的起搏器活动,此时尖峰发生器已接管部分控制。(3)存在一种情况,即两个子系统解耦,仅在噪声的帮助下共振。

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