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周期图和阿伦方差显示,听觉神经脉冲序列中的分形指数大于1。

The periodogram and Allan variance reveal fractal exponents greater than unity in auditory-nerve spike trains.

作者信息

Lowen S B, Teich M C

机构信息

Department of Electrical Engineering, Columbia University, New York, New York 10027, USA.

出版信息

J Acoust Soc Am. 1996 Jun;99(6):3585-91. doi: 10.1121/1.414979.

Abstract

Auditory-nerve spike trains exhibit fractal behavior, and therefore traditional renewal-point-process models fail to describe them adequately. Previous measures of the fractal exponent of these spike trains are based on the Fano factor and consequently cannot exceed unity. Two estimates of the fractal exponent are considered which do not suffer from this limit: one derived from the Allan variance, which was developed by the authors, and one based on the periodogram. These measures indicate that fractal exponents do indeed exceed unity for some nerve-spike recordings from stimulated primary afferent cat auditory-nerve fibers.

摘要

听觉神经尖峰序列呈现分形行为,因此传统的更新点过程模型无法充分描述它们。以往对这些尖峰序列分形指数的测量基于法诺因子,因此不能超过1。本文考虑了两种不受此限制的分形指数估计方法:一种是作者开发的基于阿仑方差的方法,另一种是基于周期图的方法。这些测量表明,对于一些来自受刺激的初级传入猫听觉神经纤维的神经尖峰记录,分形指数确实超过了1。

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