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时域中音调分析的神经元机制。

Neuronal mechanisms for pitch analysis in the time domain.

作者信息

Langner G

出版信息

Exp Brain Res. 1981;44(4):450-4. doi: 10.1007/BF00238840.

DOI:10.1007/BF00238840
PMID:7308361
Abstract

Many units in the auditory midbrain nucleus (MLD) of the Guinea fowl are found to be tuned to amplitude modulated tones (AM). For a given response maximum the relationship of the period tau m of the modulation frequency fm and the period tau c of the carrier frequency fc may be given by an empirical equation: m . tau m + n . tau c = 1 . tau l, where m, n and l are small integers typical for a unit. tau l is a time constant of 0.4 ms. The temporal pattern of the neuronal response support these findings. The averages of spike trains oscillate with periods multiple to tau l. These oscillations are elicited by stimulus onsets and zero crossings of fm and may by coupled strongly to fm depending on fc. Variation of fm or fc shifts the mean delay of the phase coupled activity proportional to m . tau m and n . tau c, respectively. These effects may be explained with activity phase coupled to fc which coincides at the level of the recorded units with oscillations coupled to fm. This is expressed by the above given periodicity equation. Psychophysical results with AM-stimuli indicate that the mechanisms described and the periodicity equation are adequate for the explanation of the analysis of periodicity pitch in humans. Hence the period corresponding to pitch is defined by tau p = n . tau c-1 . tau l, where n and 1 are integers and tau l = 0.4 ms. Plots of tau p as a function of tau c reveal steps at 0.4 ms intervals indicating that the neuronal time constant is the same in both species.

摘要

在珍珠鸡的听觉中脑核(MLD)中,发现许多神经元单元对调幅音(AM)具有调谐特性。对于给定的最大响应,调制频率fm的周期τm与载波频率fc的周期τc之间的关系可以由一个经验方程给出:m·τm + n·τc = 1·τl,其中m、n和l是该单元典型的小整数。τl是一个0.4毫秒的时间常数。神经元反应的时间模式支持了这些发现。脉冲序列的平均值以τl的倍数周期振荡。这些振荡由刺激起始以及fm的过零点引发,并且可能根据fc与fm强烈耦合。fm或fc的变化分别使相位耦合活动的平均延迟按m·τm和n·τc成比例地移动。这些效应可以用与fc耦合的活动相位来解释,在记录单元的层面上,它与与fm耦合的振荡相重合。这由上述给定的周期性方程表示。AM刺激的心理物理学结果表明,所描述的机制和周期性方程足以解释人类对周期性音高的分析。因此,对应于音高的周期由τp = n·τc - 1·τl定义,其中n和1是整数,且τl = 0.4毫秒。τp作为τc的函数的绘图显示出以0.4毫秒间隔的台阶,表明这两个物种的神经元时间常数是相同的。

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