Biophysical model of an auditory nerve fiber with a novel adaptation component.
Biophysical model of an auditory nerve fiber with a novel adaptation component.
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具有新颖适应成分的听觉神经纤维的生物物理模型。
DOI：
10.1109/tbme.2009.2023978
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Abbas,PaulJ
中科院分区：
文献类型：
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作者：
Woo,Jihwan;Miller,CharlesA;Abbas,PaulJ
猫听觉神经纤维（ANF）的最新数据表明，电刺激纤维可以经历很大程度的频率适应脉冲串刺激使用的范围内的脉冲频率的临床听觉假体。然而，霍奇金-赫胥黎型模型的应用程序不产生这样的适应，这发生在时间段上的顺序为100毫秒。我们描述了我们的发展的计算ANF轴突模型，采用了随时间变化的外部钾浓度（[K+]ext），这取决于钾电流产生的活性节点通道活动。这种相对简单和计算易处理的方法产生的poststimulus时间直方图是类似的实验（猫）数据。此外，这种机制可以很容易地结合到其他模型中，以产生对重复电刺激产生的神经编码的更真实的估计。
Recent data from feline auditory nerve fibers (ANFs) indicate that electrically stimulated fibers can undergo large degrees of rate adaptation to pulse-train stimuli using pulse rates within the range used by clinical auditory prostheses. However, the application of Hodgkin-Huxley-type models does not produce such adaptation, which occurs over time periods on the order of 100 ms. We describe our development of a computational ANF axon model that incorporates a time-changing external potassium concentration ([K+]ext) that depends on potassium currents produced by active nodal channel activity. This relatively simple and computationally tractable approach produces poststimulus time histograms that are similar to experimental (cat) data. Furthermore, this mechanism could be easily incorporated into other models to produce much more realistic estimates of the neural coding produced by repeated electric stimulation.