听觉系统可以精细地分辨声音在强度或音调上的变化,而实现这种性能的前提是听觉外周对声波信号精准的表达。基于这一点,将耳蜗基底膜看作离散余弦变换器,可将进入耳蜗的声音信号变换为一组神经输出,神经纤维的空间分布代表频率,神经脉冲频率代表信号强度。仿真结果表明,该模型不仅可以很好地表达声波信号与神经输出之间的对应关系,还可以模拟由于听觉外周的非线性特性而产生的各种现象。 Auditory system can finely distinguish the sound intensity or pitch changes, and to achieve this performance on the premise of the auditory peripheral acoustic signal accurately expressed. Based on this, treating the cochlear basement membrane as a discrete cosine transformer transforms the sound signal into the cochlea into a set of nerve outputs, the spatial distribution of the nerve fibers represents the frequency and the nerve pulse frequency represents the signal intensity. The simulation results show that this model can not only express the corresponding relationship between the acoustic signal and the neural output well, but also simulate various phenomena caused by the nonlinear characteristics of auditory peripheral.