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声压的时间整合决定了听神经纤维的阈值。

Temporal integration of sound pressure determines thresholds of auditory-nerve fibers.

作者信息

Heil P, Neubauer H

机构信息

Leibniz Institute for Neurobiology, D-39118 Magdeburg, Germany.

出版信息

J Neurosci. 2001 Sep 15;21(18):7404-15. doi: 10.1523/JNEUROSCI.21-18-07404.2001.

Abstract

Current propositions of the quantity of sound driving the central auditory system, specifically around threshold, are diverse and at variance with one another. They include sound pressure, sound power, or intensity, which are proportional to the square of pressure, and energy, i.e., the integral of sound power over time. Here we show that the relevant sound quantity and the nature of the threshold can be obtained from the timing of the first spike of auditory-nerve (AN) fibers after the onset of a stimulus. We reason that the first spike is triggered when the stimulus reaches threshold and occurs with fixed delay thereafter. By probing cat AN fibers with characteristic frequency tones of different sound pressure levels and rise times, we show that the differences in relative timing of the first spike (including latencies >100 msec of fibers with low spontaneous rates) can be well accounted for by essentially linear integration of pressure over time. The inclusion of a constant pressure loss or gain to the integrator improves the fit of the model and also accounts for most of the variation of spontaneous rates across fibers. In addition, there are tight correlations among delay, threshold, and spontaneous rate. First-spike timing cannot be explained by models based on a fixed pressure threshold, a fixed power or intensity threshold, or an energy threshold. This suggests that AN fiber thresholds are best measured in units of pressure by time. Possible mechanisms of pressure integration by the inner hair cell-AN fiber complex are discussed.

摘要

目前关于驱动中枢听觉系统的声音量,特别是在阈值附近的观点多种多样且相互矛盾。这些观点包括声压、声功率或强度(与压力的平方成正比)以及能量,即声功率随时间的积分。在这里,我们表明相关的声音量和阈值的性质可以从刺激开始后听觉神经(AN)纤维的第一个尖峰的时间中获得。我们推断,当刺激达到阈值时会触发第一个尖峰,此后以固定延迟出现。通过用不同声压水平和上升时间的特征频率音调探测猫的AN纤维,我们表明第一个尖峰的相对时间差异(包括自发率低的纤维潜伏期>100毫秒)基本上可以通过压力随时间的线性积分得到很好的解释。在积分器中加入恒定的压力损失或增益可以改善模型的拟合,并且也解释了不同纤维间自发率的大部分变化。此外,延迟、阈值和自发率之间存在紧密的相关性。第一个尖峰时间不能用基于固定压力阈值、固定功率或强度阈值或能量阈值的模型来解释。这表明AN纤维阈值最好以压力随时间的单位来测量。我们还讨论了内毛细胞-AN纤维复合体进行压力积分的可能机制。

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