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Detection of non-periodic signals utilized the stochastic resonance in an iron electrode reaction

利用铁电极反应中的随机共振检测非周期信号

基本信息

批准号：
10640380
负责人：
ISHIKAWA Shingo
金额：
$ 1.54万
依托单位：
Yokohama National University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

项目摘要

In the threshold systems with two states of the output, noise can play a constructive role in the detection of weak periodic signals, via a mechanism known as stochastic resonance. Recently, the stochastic resonance has attracted special interest in the biological processing of information. The purpose of our research is to construct the chemical system of the iron electrode reaction in nitric acid simulated the stimulus-response properties of sesory neurons and to detect the weak non-periodic signals embedded in a background noise utilized the stochastic resonance in this chemical system.As a result of the devising the shape of electrode and the bubbling the air in the nitric acid beforehand, we obtained the periodic oscillations stable for a long time and the good reproduction of reaction. This is the most important result to construct the experimental system of the chemical oscillation.In the excitable state, the stochastic resonance phenomena could be verified with a sufficient accuracy. In the self-induced oscillatory state, the characteristic phenomena of the entrainment could be discovered reproducibly. On the other hand, with respect to a weak non-periodic signal detection, the effect of the stochastic resonance could be proved indirectly in a mono-stable electric circuit, but obtained the insufficient result in our chemical system due to the incomplete response based on the dynamical change of refractory period. This is the subject for a future study.

在具有两个输出状态的阈值系统中，噪声可以通过称为随机共振的机制在弱周期信号的检测中发挥建设性作用。近年来，随机共振在生物信息处理中引起了人们的极大兴趣。本研究的目的是模拟感觉神经元的刺激-反应特性，构建硝酸中铁电极反应的化学系统，并利用该化学系统中的随机共振现象检测背景噪声中的微弱非周期信号，通过设计电极形状和预先在硝酸中鼓泡，我们得到了长时间稳定的周期振荡和反应的良好再现性。这是建立化学振荡实验系统的最重要的结果，在激发态下，可以足够精确地验证随机共振现象。在自激振荡态下，可以再现卷吸的特征现象。另一方面，对于弱非周期信号的检测，在单稳态电路中可以间接证明随机共振的作用，但在我们的化学系统中，由于基于不应期动态变化的响应不完全，结果不够充分。这是未来研究的主题。