Javel E
Department of Otolaryngology, University of Minnesota, Minneapolis 55455, USA.
Hear Res. 1994 Dec;81(1-2):167-88. doi: 10.1016/0378-5955(94)90163-5.
Tuning curves of auditory nerve fibers in normal-hearing cats were fitted by a computational model comprising four processes. One process accounts for sensitivity in tuning curve tails and consists of an approximation to bandpass filtering by extracochlear structures. The second and third processes describe passive and active components of basilar membrane (BM) mechanics, respectively. The former consists of a lowpass filter function, which provides baseline threshold sensitivity and filtering above characteristic frequency (CF), and the latter consists of a Gaussian that accounts for sharp tuning and high sensitivity around CF. A fourth process, modeled as a high-pass filter, was needed in many fits to account for breaks and plateaus in threshold sensitivity at frequencies above CF. The latter three processes operated on cochlear spatial coordinates rather than stimulus frequency. The four-process description closely accounted for shapes of most tuning curves. Tuning curve tails possessed minima at 40-80 dB SPL, and minima increased with fiber CF. High-frequency cutoffs of tail filters tended to increase with CF, but low-frequency cutoffs were generally constant across CF. Functions describing tails varied from ear to ear but behaved in a similar manner for fibers from a single ear. Passive components of BM resonances possessed baselines with sensitivities that decreased with CF and cutoff slopes that increased with CF. The magnitude of the active component increased smoothly with CF over an 80 + dB range, and its spatial extent was essentially constant at 1.5 mm or 6% of cochlear length regardless of gain magnitude, fiber CF, or threshold sensitivity. Tuning curves from fibers with high and medium spontaneous rates (SRs) and similar CFs had nearly identical shapes, with the sole difference being essentially constant differences in sensitivity across the entire excitatory frequency range. Tuning curve shapes from fibers with low SRs were more variable. These could either resemble those obtained from similarly-tuned fibers with higher SRs, or they could exhibit lower tip-to-tail ratios and reduced active component magnitudes. The latter were typically associated with low maximum discharge rates.
正常听力猫的听神经纤维调谐曲线由一个包含四个过程的计算模型拟合。一个过程解释调谐曲线尾部的敏感性,由蜗外结构对带通滤波的近似组成。第二个和第三个过程分别描述基底膜(BM)力学的被动和主动成分。前者由一个低通滤波器函数组成,它提供基线阈值敏感性并在特征频率(CF)以上进行滤波,后者由一个高斯函数组成,它解释了CF附近的尖锐调谐和高敏感性。在许多拟合中需要第四个过程,建模为高通滤波器,以解释CF以上频率处阈值敏感性的断点和平原。后三个过程在耳蜗空间坐标上运行,而不是刺激频率。四过程描述紧密地解释了大多数调谐曲线的形状。调谐曲线尾部在40 - 80 dB SPL处有最小值,且最小值随纤维CF增加。尾部滤波器的高频截止往往随CF增加,但低频截止在CF范围内通常是恒定的。描述尾部的函数因耳而异,但同一耳的纤维表现方式相似。BM共振的被动成分具有随CF降低的敏感性基线和随CF增加的截止斜率。主动成分的幅度在80 + dB范围内随CF平滑增加,其空间范围在1.5 mm或耳蜗长度的6%处基本恒定,与增益幅度、纤维CF或阈值敏感性无关。具有高和中自发率(SR)且CF相似的纤维的调谐曲线形状几乎相同,唯一的区别是在整个兴奋频率范围内敏感性存在基本恒定的差异。低SR纤维的调谐曲线形状更具变异性。这些曲线要么类似于从具有较高SR的类似调谐纤维获得的曲线,要么可能表现出较低的头尾比和降低的主动成分幅度。后者通常与低最大放电率相关。