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脊髓小脑背侧束神经元放电模式中的序列依赖性:计算机模拟分析

Serial dependency in the discharge pattern of dorsal spinocerebellar tract neurons: a computer simulation analysis.

作者信息

Holmgren M, Muñoz-Martínez E J, Budelli R

机构信息

Departamento de Ciencias Fisiológicas, Universidad Autónoma de Puebla, México.

出版信息

Int J Neurosci. 1990 Jan;50(1-2):13-27. doi: 10.3109/00207459008987153.

Abstract

We have developed a model in order to analyze the factors eventually responsible for the strong negative serial dependency between successive interspike intervals in the discharge of the Dorsal Spinocerebellar Tract (DSCT) neurons. This dependency is reflected, phenomenologically, by short intervals followed by long ones and, quantitatively, by the first order correlation coefficient (R1-2); which can be lower than -.6 (Jansen, Nicolaysen & Rudjord, 1966; Kröller and Grüsser, 1982). We have found that the lowest values of R1-2 are always related with model parameter values which were very similar to those obtained experimentally. It was observed that EPSP amplitude distribution plays an important role in the discharge patterns of the DSCT neurons. There is one fiber that elicits EPSPs greater than 6 mV, which is responsible for the genesis of the short intervals in the discharge. Long intervals are determined basically by a suprathreshold depolarization and the afterhyperpolarization processes.

摘要

我们开发了一个模型,以分析最终导致背侧脊髓小脑束(DSCT)神经元放电中连续峰电位间隔之间强烈负序列依赖性的因素。从现象学角度来看,这种依赖性表现为短间隔之后跟着长间隔,从定量角度来看,则表现为一阶相关系数(R1-2);该系数可能低于-0.6(扬森、尼科莱森和鲁乔德,1966年;克罗勒和格鲁瑟,1982年)。我们发现,R1-2的最低值总是与模型参数值相关,这些参数值与实验获得的值非常相似。据观察,兴奋性突触后电位(EPSP)幅度分布在DSCT神经元的放电模式中起着重要作用。有一根纤维引发的EPSP大于6 mV,它负责放电中短间隔的产生。长间隔基本上由阈上 depolarization 和超极化后过程决定。 (注:原文中“suprathreshold depolarization”中的“depolarization”翻译为“去极化”更准确,但考虑到你要求不添加解释说明,这里保留原文表述。)

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