TEMPORAL CODING OF RESONANCES BY LOW-FREQUENCY AUDITORY-NERVE FIBERS - SINGLE-FIBER RESPONSES AND A POPULATION-MODEL
TEMPORAL CODING OF RESONANCES BY LOW-FREQUENCY AUDITORY-NERVE FIBERS - SINGLE-FIBER RESPONSES AND A POPULATION-MODEL
复制标题
DOI：
10.1152/jn.1988.60.5.1653
复制
发表时间：
1988-11-01
影响因子：
2.5
通讯作者：
YIN, TCT
中科院分区：
文献类型：
--
作者：
CARNEY, LH;YIN, TCT
1. 我们记录了猫的低频听觉神经纤维（特征频率（CF）小于 3 kHz）对不同固有频率、阻尼系数和声压级的共振刺激的反应。对共振的响应与位于刺激频谱的峰值频率和光纤 CF 附近的频率之间的频率同步。响应中主要同步的频率作为刺激参数的函数而系统地变化。 2. 具有尖锐频谱峰值的更轻阻尼谐振引起更接近峰值频率的同步，而更高阻尼谐振的更宽峰值引起更接近光纤 CF 的同步。因此，当刺激从无阻尼音调变为高阻尼瞬态时，同步响应的主要成分从刺激的峰值频率移向光纤的 CF。主要成分的轨迹随着刺激水平的变化而变化，较高的水平导致在更宽的阻尼范围内同步偏向刺激频谱的峰值。 3. 光纤的频率调谐和同步特性以及刺激参数决定了其对复杂刺激的响应的时间特性。使用反向相关 (revcor) 滤波器来表征听觉神经纤维的调谐和同步，我们能够预测对共振刺激的响应的时间特性。 4.参数模型适合测量的revcor函数，该函数源自听觉神经纤维对宽带噪声的响应。通过这种方式，基于我们测量的滤波器群体开发了一组模型 revcor 滤波器。 5. 滤波器组用于模拟一组听觉神经纤维对共振的响应。纤维群响应中存在的时间模式编码了共振刺激的参数。 6. revcor 滤波器组模型提供了一种研究纤维群对其他复杂声音的时间响应模式的方法。 7、群体模型的输出是听觉外围向中枢神经系统提供的时间信息的表示；因此，它为检验有关中枢听觉系统处理时间信息的假设提供了一个潜在有用的工具。（摘要截断为 400 字）
1. We recorded responses of low-frequency auditory nerve fibers (characteristic frequency (CF) less than 3 kHz) in the cat to resonant stimuli with varied natural frequencies, damping coefficients, and sound pressure levels. Responses to resonances were synchronized to frequencies lying between the peak frequency of the stimulus spectrum and a frequency near the fiber's CF. The frequency of the dominant synchrony in the response varied systematically as a function of the stimulus parameters. 2. More lightly damped resonances, which have sharp spectral peaks, elicited synchrony closer to the peak frequency, whereas the broader peaks of more highly damped resonances elicited synchrony closer to the fiber's CF. Thus as the stimulus was varied from an undamped tone to a highly damped transient, the dominant component of the synchronized response moved from the peak frequency of the stimulus toward the CF of the fiber. The trajectory of the dominant component varied as a function of stimulus level, with higher levels resulting in synchrony biased toward the peak of the stimulus spectrum over a wider range of damping. 3. The frequency tuning and synchronization characteristics of a fiber, along with the stimulus parameters, determined the temporal properties of its response to complex stimuli. Using reverse correlation (revcor) filters to characterize the tuning and synchronization of auditory nerve fibers, we were able to predict the temporal properties of responses to resonant stimuli. 4. A parametric model was fit to measured revcor functions derived from responses of auditory nerve fibers to wideband noise. In this way, a bank of model revcor filters was developed based on our population of measured filters. 5. The filter bank was used to model the response of a population of auditory nerve fibers to resonances. Temporal patterns present in the response of a population of fibers encoded the parameters of resonant stimuli. 6. The model revcor filter bank provided a means of studying temporal response patterns of the population of fibers to other complex sounds. 7. The output of the population model is a representation of the temporal information provided by the auditory periphery to the central nervous system; thus it provides a potentially useful tool for testing hypotheses concerning the processing of temporal information by the central auditory system.(ABSTRACT TRUNCATED AT 400 WORDS)