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Essential roles of noise in neural coding and in studies of neural coding

机译:噪声在神经编码和神经编码研究中的重要作用

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摘要

We present examples of results from our studies of auditory primary afferent nerve fibers and populations of such fibers in the frog and gerbil. We take advantage of the natural dithering effect of internal noise, where it is sufficient, to construct highly predictive descriptive models (based on the Wiener series with kernels derived from white-noise analysis). Where the internal noise is insufficient, we enhance dithering by applying external acoustic noise together with our stimuli. Using acoustic noise as a background sound, orthogonal to the stimulus waveform, we show that under some circumstances such background sound can enhance the ability of individual fibers and populations of fibers to encode the stimulus waveform. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved. [References: 23]
机译:我们提供了听觉初级传入神经纤维以及青蛙和沙鼠中此类纤维种群的研究结果的实例。我们利用内部噪声的自然抖动效果(如果足够的话)来构建高度预测​​性的描述性模型(基于带有从白噪声分析得出的核的Wiener系列)。当内部噪声不足时,我们通过将外部声音噪声与刺激一起应用来增强抖动。使用声学噪声作为正交于激励波形的背景声音,我们表明在某些情况下,此类背景声音可以增强单个光纤和光纤群对激励波形进行编码的能力。 (C)2000 Elsevier Science Ireland Ltd.保留所有权利。 [参考:23]

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