Caruso Department of Otolaryngology Head & Neck Surgery, University of Southern California, CA, Los Angeles, USA.
Department of Physics, University of Roma Tor Vergata, Rome, Italy.
J Assoc Res Otolaryngol. 2021 Dec;22(6):623-640. doi: 10.1007/s10162-021-00814-2. Epub 2021 Oct 22.
The mammalian cochlea achieves its remarkable sensitivity, frequency selectivity, and dynamic range by spatially segregating the different frequency components of sound via nonlinear processes that remain only partially understood. As a consequence of the wave-based nature of cochlear processing, the different frequency components of complex sounds interact spatially and nonlinearly, mutually suppressing one another as they propagate. Because understanding nonlinear wave interactions and their effects on hearing appears to require mathematically complex or computationally intensive models, theories of hearing that do not deal specifically with cochlear mechanics have often neglected the spatial nature of suppression phenomena. Here we describe a simple framework consisting of a nonlinear traveling-wave model whose spatial response properties can be estimated from basilar-membrane (BM) transfer functions. Without invoking jazzy details of organ-of-Corti mechanics, the model accounts well for the peculiar frequency-dependence of suppression found in two-tone suppression experiments. In particular, our analysis shows that near the peak of the traveling wave, the amplitude of the BM response depends primarily on the nonlinear properties of the traveling wave in more basal (high-frequency) regions. The proposed framework provides perhaps the simplest representation of cochlear signal processing that accounts for the spatially distributed effects of nonlinear wave propagation. Shifting the perspective from local filters to non-local, spatially distributed processes not only elucidates the character of cochlear signal processing, but also has important consequences for interpreting psychophysical experiments.
哺乳动物耳蜗通过非线性过程将声音的不同频率分量在空间上分离,从而实现了其卓越的灵敏度、频率选择性和动态范围,但这些过程仍部分未知。由于耳蜗处理的基于波的性质,复杂声音的不同频率分量在空间上相互作用非线性,相互抑制,因为它们传播。由于理解非线性波相互作用及其对听力的影响似乎需要数学上复杂或计算密集的模型,因此不专门涉及耳蜗力学的听力理论通常忽略了抑制现象的空间性质。在这里,我们描述了一个简单的框架,该框架由一个非线性行波模型组成,其空间响应特性可以从基底膜(BM)传递函数中估计出来。该模型无需援引耳蜗力学的爵士乐细节,就能很好地解释在双音抑制实验中发现的抑制现象的特殊频率依赖性。特别是,我们的分析表明,在行波的峰值附近,BM 响应的幅度主要取决于更基底(高频)区域中行波的非线性特性。所提出的框架提供了对耳蜗信号处理的最简单表示形式,该模型解释了非线性波传播的空间分布效应。从局部滤波器到非局部、空间分布过程的视角转变不仅阐明了耳蜗信号处理的特征,而且对解释心理物理实验也具有重要意义。