Elliott Stephen J, Ni Guangjian, Sun Luyang
Institute of Sound and Vibration Research, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom.
Laboratory of Neural Engineering and Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering and Tianjin International Joint Research Center for Neural Engineering and Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
J Acoust Soc Am. 2017 Aug;142(2):666. doi: 10.1121/1.4996128.
An efficient way of describing the linear micromechanical response of the cochlea is in terms of its poles and zeros. Pole-zero models with local scaling symmetry are derived for both one and two degree-of-freedom micromechanical systems. These elements are then used in a model of the coupled cochlea, which is optimised to minimise the mean square difference between its frequency response and that measured on the basilar membrane inside the mouse cochlea by Lee, Raphael, Xia, Kim, Grillet, Applegate, Ellerbee Bowden, and Oghalai [(2016) J. Neurosci. 36, 8160-8173] and Oghalai Lab [(2015). https://oghalailab.stanford.edu], at different excitation levels. A model with two degree-of-freedom micromechanics generally fits the measurements better than a model with single degree-of-freedom micromechanics, particularly at low excitations where the cochlea is active, except post-mortem conditions, when the cochlea is passive. The model with the best overall fit to the data is found to be one with two degree-of-freedom micromechanics and 3D fluid coupling. Although a unique lumped parameter network cannot be inferred from such a pole-zero description, these fitted results help indicate what properties such a network should have.
描述耳蜗线性微机械响应的一种有效方法是通过其极点和零点。针对单自由度和双自由度微机械系统,推导了具有局部缩放对称性的零极点模型。然后将这些元件用于耦合耳蜗模型,该模型经过优化,以最小化其频率响应与Lee、Raphael、Xia、Kim、Grillet、Applegate、Ellerbee Bowden和Oghalai [(2016) J. Neurosci. 36, 8160 - 8173]以及Oghalai实验室[(2015). https://oghalailab.stanford.edu]在不同激励水平下在小鼠耳蜗基底膜上测量的频率响应之间的均方差。一般来说,双自由度微机械模型比单自由度微机械模型更能拟合测量结果,特别是在耳蜗处于活动状态的低激励情况下,除了死后耳蜗呈被动状态时。发现对数据总体拟合最佳的模型是具有双自由度微机械和三维流体耦合的模型。尽管从这种零极点描述中无法推断出唯一的集总参数网络,但这些拟合结果有助于表明这样一个网络应具有的特性。