首页> 美国卫生研究院文献>JARO: Journal of the Association for Research in Otolaryngology >Changes Across Time in Spike Rate and Spike Amplitude of Auditory Nerve Fibers Stimulated by Electric Pulse Trains
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Changes Across Time in Spike Rate and Spike Amplitude of Auditory Nerve Fibers Stimulated by Electric Pulse Trains

机译:电脉冲序列刺激的听觉神经纤维的峰值频率和峰值幅度随时间的变化

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摘要

We undertook a systematic evaluation of spike rates and spike amplitudes of auditory nerve fiber (ANF) responses to trains of electric current pulses. Measures were obtained from acutely deafened cats to examine time-related changes free from the effects of hair-cell and synaptic adaptation. Such data relate to adaptation that likely occurs in ANFs of cochlear-implant users. A major goal was to determine and compare rate adaptation observed at different pulse rates (primarily 250, 1000, and 5000 pulse/s) and describe them using decaying exponential models similar to those used in acoustic studies. Rate-vs.-time functions were best described by two-exponent models and produced time constants similar to (although slightly greater than) the “rapid” and “short-term” components described in acoustic studies. There was little dependence of these time constants on onset spike rate, but pulse-rate effects were noted. Spike amplitude changes followed a time course different from that of rate adaptation consistent with a process related to ANF interspike intervals. The fact that two time constants governed rate adaptation in electrically stimulated and deafened fibers suggests that future computational models of adaptation should not only include hair cell and synapse components, but also components determined by fiber membrane characteristics.
机译:我们对听觉神经纤维(ANF)对电流脉冲序列的响应的尖峰速率和尖峰幅度进行了系统的评估。从严重耳聋的猫中获取了措施,以检查与时间有关的变化,而不受毛细胞和突触适应的影响。这些数据与可能发生在人工耳蜗使用者的ANFs中的适应有关。一个主要目标是确定和比较在不同脉冲速率(主要是250、1000和5000脉冲/ s)下观察到的速率适应性,并使用类似于声学研究中所使用的衰减指数模型来描述它们。速率-时间函数最好用两个指数的模型来描述,并且产生的时间常数类似于(尽管稍大于)声学研究中描述的“快速”和“短期”分量。这些时间常数对尖峰脉冲速率的依赖性很小,但是注意到了脉冲速率的影响。峰值幅度变化遵循与速率自适应不同的时间过程,该时间过程与与ANF峰值间隔相关的过程一致。两个时间常数决定着电刺激和失聪纤维的速率适应性这一事实表明,适应性的未来计算模型不仅应包括毛细胞和突触成分,还应包含由纤维膜特性决定的成分。

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