van Gendt M J, Briaire J J, Kalkman R K, Frijns J H M
ENT-Department, Leiden University Medical Centre, PO Box 9600, 2300 RC, Leiden, The Netherlands.
ENT-Department, Leiden University Medical Centre, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Hear Res. 2017 Aug;351:19-33. doi: 10.1016/j.heares.2017.05.007. Epub 2017 May 19.
Cochlear implants encode speech information by stimulating the auditory nerve with amplitude-modulated pulse trains. A computer model of the auditory nerve's response to electrical stimulation can be used to evaluate different approaches to improving CI patients' perception. In this paper a computationally efficient stochastic and adaptive auditory nerve model was used to investigate full nerve responses to amplitude-modulated electrical pulse trains. The model was validated for nerve responses to AM pulse trains via comparison with animal data. The influence of different parameters, such as adaptation and stochasticity, on long-term adaptation and modulation-following behavior was investigated. Responses to pulse trains with different pulse amplitudes, amplitude modulation frequencies, and modulation depths were modeled. Rate responses as well as period histograms, Vector Strength and the fundamental frequency were characterized in different time bins. The response alterations, including frequency following behavior, observed over the stimulus duration were similar to those seen in animal experiments. The tested model can be used to predict complete nerve responses to arbitrary input, and thus to different sound coding strategies.
人工耳蜗通过用调幅脉冲序列刺激听神经来编码语音信息。听神经对电刺激反应的计算机模型可用于评估改善人工耳蜗植入患者感知的不同方法。本文使用了一种计算效率高的随机自适应听神经模型来研究对调幅电脉冲序列的全神经反应。通过与动物数据比较，验证了该模型对调幅脉冲序列的神经反应。研究了不同参数（如适应性和随机性）对长期适应性和调制跟随行为的影响。对具有不同脉冲幅度、调幅频率和调制深度的脉冲序列的反应进行了建模。在不同的时间区间内对速率反应以及周期直方图、矢量强度和基频进行了表征。在刺激持续时间内观察到的包括频率跟随行为在内的反应变化与动物实验中观察到的相似。所测试的模型可用于预测对任意输入的完整神经反应，从而预测对不同声音编码策略的反应。
