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Information transfer with rate-modulated Poisson processes: A simple model for nonstationary stochastic resonance - art. no. 021909

机译:带有速率调制泊松过程的信息传递:非平稳随机共振的简单模型-艺术。没有。 021909

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摘要

Stochastic resonance in a simple model of information transfer is studied for sensory neurons and ensembles of ion channels. An exact expression for the information gain is obtained for the Poisson process with the signal-modulated spiking rate. This result allows one to generalize the conventional stochastic resonance (SR) problem (with periodic input signal) to the arbitrary signals of finite duration (nonstationary SR). Moreover, in the case of a periodic signal, the rate of information gain is compared with the conventional signal-to-noise ratio. The paper establishes the general nonequivalence between both measures notwithstanding their apparent similarity in the limit of weak signals. [References: 34]
机译:在一个简单的信息传递模型中,对感觉神经元和离子通道集合研究了随机共振。对于具有信号调制尖峰速率的泊松过程,可以获得信息增益的精确表达式。这一结果使人们可以将常规随机共振(SR)问题(具有周期性输入信号)推广到有限持续时间(非平稳SR)的任意信号。此外,在周期性信号的情况下,将信息增益的速率与常规信噪比进行比较。尽管它们在弱信号范围内具有明显的相似性,但本文建立了这两种措施之间的一般不等价性。 [参考:34]

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