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绝对听觉阈值的概率模型及其可能的生理基础。

A probabilistic model of absolute auditory thresholds and its possible physiological basis.

机构信息

Department of Auditory Learning and Speech, Leibniz Institute for Neurobiology, Magdeburg, Germany.

出版信息

Adv Exp Med Biol. 2013;787:21-9. doi: 10.1007/978-1-4614-1590-9_3.

DOI:10.1007/978-1-4614-1590-9_3
PMID:23716205
Abstract

Detection thresholds for auditory stimuli, specified in terms of their -amplitude or level, depend on the stimulus temporal envelope and decrease with increasing stimulus duration. The neural mechanisms underlying these fundamental across-species observations are not fully understood. Here, we present a "continuous look" model, according to which the stimulus gives rise to stochastic neural detection events whose probability of occurrence is proportional to the 3rd power of the low-pass filtered, time-varying stimulus amplitude. Threshold is reached when a criterion number of events have occurred (probability summation). No long-term integration is required. We apply the model to an extensive set of thresholds measured in humans for tones of different envelopes and durations and find it to fit well. Subtle differences at long durations may be due to limited attention resources. We confirm the probabilistic nature of the detection events by analyses of simple reaction times and verify the exponent of 3 by validating model predictions for binaural thresholds from monaural thresholds. The exponent originates in the auditory periphery, possibly in the intrinsic Ca(2+) cooperativity of the Ca(2+) sensor involved in exocytosis from inner hair cells. It results in growth of the spike rate of auditory-nerve fibers (ANFs) with the 3rd power of the stimulus amplitude before saturating (Heil et al., J Neurosci 31:15424-15437, 2011), rather than with its square (i.e., with stimulus intensity), as is commonly assumed. Our work therefore suggests a link between detection thresholds and a key biochemical reaction in the receptor cells.

摘要

听觉刺激的检测阈值,以其幅度或水平来表示,取决于刺激的时间包络,并随着刺激持续时间的增加而降低。这些跨物种的基本观察结果背后的神经机制尚未完全理解。在这里,我们提出了一种“连续观察”模型,根据该模型,刺激会产生随机的神经检测事件,其发生的概率与经低通滤波、时变刺激幅度的立方成正比。当发生的事件达到一定数量(概率总和)时,就达到了阈值。不需要长期整合。我们将该模型应用于广泛的人类阈值数据集,这些数据涉及不同包络和持续时间的音调,发现它拟合得很好。长时间的细微差异可能是由于注意力资源有限。我们通过对简单反应时间的分析来确认检测事件的概率性质,并通过验证模型对单耳阈值的双耳阈值的预测来验证指数为 3。该指数起源于听觉外周,可能起源于参与毛细胞胞吐作用的 Ca(2+)传感器中的内在 Ca(2+)协同作用。它导致听觉神经纤维(ANF)的尖峰率随着刺激幅度的立方而增长,然后饱和(Heil 等人,J Neurosci 31:15424-15437, 2011),而不是通常假设的与刺激强度的平方成正比。因此,我们的工作表明检测阈值与受体细胞中的一个关键生化反应之间存在联系。

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Stochastic undersampling steepens auditory threshold/duration functions: implications for understanding auditory deafferentation and aging.随机欠采样使听觉阈值/时长函数变陡:对理解听觉传入神经阻滞和衰老的启示。
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