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通过间隔相关性进行噪声整形可增加信息传递。

Noise shaping by interval correlations increases information transfer.

作者信息

Chacron Maurice J, Lindner Benjamin, Longtin André

机构信息

Department of Physics, University of Ottawa, 150 Louis Pasteur, Ottawa, Canada K1N-6N5.

出版信息

Phys Rev Lett. 2004 Feb 27;92(8):080601. doi: 10.1103/PhysRevLett.92.080601. Epub 2004 Feb 25.

Abstract

The influence of intrinsic firing interspike interval correlations on the noise spectrum and information transfer is studied. This is done through the comparison of two simple firing models, one of which is a renewal process while the other displays interval correlations. These correlations are shown to shape the spike train power spectrum and, in particular, to decrease the noise power at low frequencies. Linear response theory and numerical simulations reveal how this shaping can increase the transmission of information about a time-varying signal. Our results are relevant to the analysis of nonrenewal point processes and signal detection in physics and biology.

摘要

研究了内在放电峰峰间隔相关性对噪声谱和信息传递的影响。这是通过比较两个简单的放电模型来完成的,其中一个是更新过程,而另一个则显示间隔相关性。这些相关性被证明会塑造脉冲序列功率谱,特别是会降低低频处的噪声功率。线性响应理论和数值模拟揭示了这种塑造如何能够增加关于时变信号的信息传输。我们的结果与物理学和生物学中非更新点过程的分析以及信号检测相关。

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