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A Spiking Neuron Model of Auditory Neural Coding

机译:听觉神经编码的尖峰神经元模型

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The focus of this paper is to propose an explanation for how biological auditory mechanism is able to use spiking neurons to code high bandwidth information using information channels with very slow sampling rates (< 20 Hz). The general approach described in this paper is to decompose the signal into narrow band channels, each of which can be sampled at a frequency that is much lower than the center frequency of the corresponding narrow band filter. The new idea here is that the system can use non-uniform sampling to capture both the amplitude of the modulation and the phase of the carrier signal. In this paper, we first describe a system based on FFT analysis combined with overlap-add and a sampling process where magnitude is digitized but phase is represented using a temporal code of spiking neurons. The coding/decoding mechanism is based on the properties of the refractory period. We demonstrate that it is possible to reduce the bit rate to 50% by coding the carrier phase using the timing of the pulses. In the second part of this paper we show how a biological system may approximate the broadband auditory signal using spiking neurons in conjunction with a simple model of neural refractory period.
机译:本文的焦点是提出了一种解释生物听觉机制如何使用尖刺神经元来使用具有非常慢的采样率(<20 Hz)的信息信道来编码高带宽信息。本文描述的一般方法是将信号分解为窄带信道,每个信道可以以远低于相应的窄带滤波器的中心频率的频率对其进行采样。这里的新想法是系统可以使用非均匀采样来捕获调制的幅度和载波信号的相位。在本文中,我们首先描述基于FFT分析的系统,与重叠 - 添加和幅度为数字化但是使用尖刺神经元的时间代码表示相位的采样过程。编码/解码机制基于耐火周期的性质。我们证明可以通过使用脉冲的定时编码载波相位来将比特率降低到50%。在本文的第二部分中,我们展示了生物系统如何使用尖刺神经元与神经耐火周期的简单模型相近近似宽带听觉信号。

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