Heil Peter, Peterson Adam J
Department of Systems Physiology of Learning, Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany.
Center for Behavioral Brain Sciences, Magdeburg, Germany.
Synapse. 2017 Jan;71(1):5-36. doi: 10.1002/syn.21925. Epub 2016 Aug 17.
In vertebrates, all acoustic information transmitted from the inner ear to the central auditory system is relayed by primary auditory afferents (auditory-nerve fibers; ANFs). These neurons are also the most peripheral elements to use action potentials (spikes) to encode the acoustic information. Here, we review what is known about the spiking of ANFs during spontaneous activity, when spike timing might be regarded as largely random, and during stimulation by low-frequency sounds, when spikes are phase locked to the stimulus waveform, a phenomenon generally considered a hallmark of temporal precision and speed in the auditory system. We focus on mammals, in which each ANF is driven by a single ribbon synapse in a single receptor cell, but also cover relevant research on ANFs of vertebrates from other classes. For spontaneous activity, we highlight several spike-history effects in interspike interval distributions, hazard-rate functions, serial interval correlations, and spike-count statistics. We also review models that have attempted to account for these properties. For phase locking, we focus on the responses to low-frequency tones, rather than to low-frequency components of broadband signals such as noise or clicks. We critically review the measures commonly used to quantify phase locking and urge caution when interpreting such measures with respect to spike-timing precision. We also review the dependence of phase locking on stimulus amplitude and frequency. Finally, we identify some open questions.
在脊椎动物中,从内耳传递到中枢听觉系统的所有声学信息均由初级听觉传入神经(听觉神经纤维;ANFs)中继。这些神经元也是利用动作电位(尖峰)对声学信息进行编码的最外周元件。在此,我们回顾关于ANFs在自发活动期间(此时尖峰时间可被视为在很大程度上是随机的)以及在低频声音刺激期间(此时尖峰与刺激波形锁相,这一现象通常被认为是听觉系统中时间精度和速度的标志)的尖峰活动的已知情况。我们重点关注哺乳动物,其中每个ANF由单个受体细胞中的单个带状突触驱动,但也涵盖其他类脊椎动物ANFs的相关研究。对于自发活动,我们突出了在峰峰间隔分布、风险率函数、序列间隔相关性和尖峰计数统计中的几种尖峰历史效应。我们还回顾了试图解释这些特性的模型。对于锁相,我们关注对低频音调的反应,而非对宽带信号(如噪声或点击声)的低频成分的反应。我们批判性地回顾了常用于量化锁相的测量方法,并在解释此类关于尖峰时间精度的测量方法时敦促谨慎。我们还回顾了锁相对刺激幅度和频率的依赖性。最后,我们确定了一些未解决的问题。