Bahmer Andreas, Langner Gerald
University of Frankfurt Main, Clinic for Otolaryngology, Audiological Acoustics, 60590, Frankfurt, Germany.
Biol Cybern. 2009 Jan;100(1):21-33. doi: 10.1007/s00422-008-0276-3. Epub 2008 Nov 18.
The unique temporal and spectral properties of chopper neurons in the cochlear nucleus cannot be fully explained by current popular models. A new model of sustained chopper neurons was therefore suggested based on the assumption that chopper neurons receive input both from onset neurons and the auditory nerve (Bahmer and Langner in Biol Cybern 95:4, 2006). As a result of the interaction of broadband input from onset neurons and narrowband input from the auditory nerve, the chopper neurons in our model are characterized by a remarkable combination of sharp frequency tuning to pure tones and faithful periodicity coding. Our simulations show that the width of the spectral integration of the onset neuron is crucial for both the precision of periodicity coding and their resolution of single components of sinusoidally amplitude-modulated sine waves. One may hypothesize, therefore, that it would be an advantage if the hearing system were able to adapt the spectral integration of onset neurons to varying stimulus conditions.
耳蜗核中斩波神经元独特的时间和频谱特性无法用当前流行的模型完全解释。因此，基于斩波神经元从起始神经元和听神经接收输入的假设，提出了一种持续斩波神经元的新模型（Bahmer和Langner，《生物控制论》95:4，2006）。由于起始神经元的宽带输入与听神经的窄带输入相互作用，我们模型中的斩波神经元具有对纯音的尖锐频率调谐和忠实的周期性编码的显著组合特征。我们的模拟表明，起始神经元的频谱整合宽度对于周期性编码的精度及其对正弦幅度调制正弦波单个成分的分辨率都至关重要。因此，可以推测，如果听觉系统能够使起始神经元的频谱整合适应不同的刺激条件，那将是一个优势。
