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听觉神经中的声音编码:从单纤维活动到沙鼠的耳蜗质量电势。

Sound Coding in the Auditory Nerve: From Single Fiber Activity to Cochlear Mass Potentials in Gerbils.

机构信息

INM, Inserm, Univ Montpellier, Montpellier, France.

INM, Inserm, Univ Montpellier, Montpellier, France.

出版信息

Neuroscience. 2019 May 21;407:83-92. doi: 10.1016/j.neuroscience.2018.10.010. Epub 2018 Oct 17.

DOI:10.1016/j.neuroscience.2018.10.010
PMID:30342201
Abstract

Auditory nerve fibers (ANFs) convey acoustic information from the sensory cells to the brainstem using an elaborated neural code based on both spike timing and rate. As the stimulus tone frequency increases, time coding fades and ceases, resulting in high-frequency tone encoding that relies mostly on the spike discharge rate. Here, we recapitulated our recent single-unit data from gerbil's auditory nerve to highlight the most relevant mode of coding (spike timing versus spike rate) in tone-in-noise. We report that high-spontaneous rate (SR) fibers driven by low-frequency tones in noise are able to phase lock ∼30 dB below the level that evoked a significant elevation of the discharge rate, whereas medium- and low-SR fibers switch their preferential mode of coding from rate coding in quiet, to time coding in noise. For high-frequency tone, the low-threshold/high-SR fibers reach their maximum discharge rate in noise and do not respond to tones, whereas medium- and low-SR fibers are still able to respond to tones making them more resistant to background noise. Based on these findings, we first discuss the ecological function of the ANF distribution according to their spontaneous discharge rate. Then, we point out the poor synchronization of the low-SR ANFs, accounting for the discrepancy between ANF number and the amplitude of the compound action potential of the of the auditory nerve. Finally, we proposed a new diagnostic tool to assess low-SR fibers, which does not rely on the onset response of the ANFs.

摘要

听觉神经纤维 (ANF) 使用基于尖峰时间和频率的精细神经编码,将声音信息从感觉细胞传递到脑干。随着刺激音频率的增加,时间编码逐渐消失并停止,导致高频音调编码主要依赖于尖峰放电率。在这里,我们总结了我们最近从沙鼠听觉神经获得的单个单位数据,以突出在噪声中的音调编码中最相关的编码模式(尖峰时间与尖峰率)。我们报告说,在噪声中被低频音调驱动的高自发性放电率 (SR) 纤维能够在低于引起放电率显著升高的水平下进行相位锁定,而中、低 SR 纤维则将其优先编码模式从安静时的率编码切换为噪声时的时间编码。对于高频音调,低阈值/高 SR 纤维在噪声中达到最大放电率,不再对音调产生反应,而中、低 SR 纤维仍然能够对音调产生反应,使它们对背景噪声的抵抗力更强。基于这些发现,我们首先根据其自发性放电率讨论了 ANF 分布的生态功能。然后,我们指出低 SR ANF 的同步性较差,这解释了 ANF 数量与听觉神经复合动作电位幅度之间的差异。最后,我们提出了一种新的诊断工具来评估低 SR 纤维,该工具不依赖于 ANF 的起始反应。

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