Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany.
Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany
J Neurosci. 2020 Jun 10;40(24):4700-4714. doi: 10.1523/JNEUROSCI.2269-19.2020. Epub 2020 May 6.
Phase locking of auditory-nerve-fiber (ANF) responses to the temporal fine structure of acoustic stimuli, a hallmark of the auditory system's temporal precision, is important for many aspects of hearing. Previous work has shown that phase-locked period histograms are often well described by exponential transfer functions relating instantaneous stimulus pressure to instantaneous spike rate, with no observed clipping of the histograms. The operating points and slopes of these functions change with stimulus level. The mechanism underlying this apparent gain control is unclear but is distinct from mechanical compression, is independent of refractoriness and spike-rate adaptation, and is apparently instantaneous. Here we show that these findings can be accounted for by a model consisting of a static Boltzmann transducer function yielding a clipped output, followed by a lowpass filter and a static exponential transfer function. Using responses to tones of ANFs from cats of both sexes, we show that, for a given ANF, the period histograms obtained at all stimulus levels for a given stimulus frequency can be described using one set of level-independent model parameters. The model also accounts for changes in the maximum and minimum instantaneous spike rates with changes in stimulus level. Notably, the estimated cutoff frequency is lower for low- than for high-spontaneous-rate ANFs, implying a synapse-specific contribution to lowpass filtering. These findings advance our understanding of ANF phase locking by highlighting the role of peripheral filtering mechanisms in shaping responses of individual ANFs. Phase locking of auditory-nerve-fiber responses to the temporal fine structure of acoustic stimuli is important for many aspects of hearing. Period histograms typically retain an approximately sinusoidal shape across stimulus levels, with the peripheral auditory system operating as though its overall transfer function is an exponential function whose slope decreases with increasing stimulus level. This apparent gain control can be accounted for by a static saturating transducer function followed by a lowpass filter. In addition to attenuating the AC component, the filter approximately recovers the sinusoidal waveform of the stimulus. The estimated cutoff frequency varies with spontaneous rate, revealing a synaptic contribution to lowpass filtering. These findings highlight the significant impact of peripheral filtering mechanisms on phase locking.
听觉神经纤维 (ANF) 对声音刺激时频结构的相位锁定,是听觉系统时间精度的一个标志,对听觉的许多方面都很重要。先前的工作表明,相位锁定的周期直方图通常可以很好地用瞬时刺激压力与瞬时尖峰率之间的指数传递函数来描述,直方图没有观察到裁剪。这些函数的工作点和斜率随刺激水平而变化。这种明显的增益控制的机制尚不清楚,但与机械压缩不同,它独立于不应期和尖峰率适应,并且是瞬时的。本文表明,这些发现可以用一个模型来解释,该模型由一个静态 Boltzmann 换能器函数产生一个裁剪的输出,后面跟着一个低通滤波器和一个静态指数传递函数。本文使用来自雌雄猫的 ANF 的响应,表明对于给定的 ANF,对于给定的刺激频率,在所有刺激水平下获得的周期直方图可以使用一组与水平无关的模型参数来描述。该模型还解释了随着刺激水平的变化,最大和最小瞬时尖峰率的变化。值得注意的是,对于低自发率的 ANF,估计的截止频率比高自发率的 ANF 低,这意味着突触特异性对低通滤波有贡献。这些发现通过强调外周滤波机制在塑造单个 ANF 响应中的作用,推进了对 ANF 相位锁定的理解。听觉神经纤维对声音刺激时频结构的相位锁定对听觉的许多方面都很重要。在整个刺激水平范围内,周期直方图通常保持近似正弦形状,外周听觉系统的工作方式似乎其整体传递函数是一个指数函数,其斜率随刺激水平的增加而减小。这种明显的增益控制可以用一个静态饱和换能器函数加一个低通滤波器来解释。除了衰减交流分量外,滤波器还大致恢复了刺激的正弦波形。估计的截止频率随自发率而变化,揭示了突触对低通滤波的贡献。这些发现强调了外周滤波机制对相位锁定的重要影响。