A study of computational architecture using control by fluctuations in nonlinear systems

在这项研究中，我们提出了一种新的计算架构，利用在现实世界系统中利用噪声的概念中的噪声诱导现象。我们特别关注了两个系统。一种是由波动驱动的计算系统，称为布朗电路，它实现了计算的通用性。我们发展了布朗电路在确定性噪声下工作的理论，即混沌波动，使用混沌同步。另一个是逻辑运算的随机共振理论。我们将这一理论应用于高维系统，如遗传网络模型，并提出了一种新的方法来并行化这些系统中的逻辑门。

In this research, we have proposed a novel computational architecture exploiting noise-induced phenomena in the concept of harnessing noise in real world systems. In particular, we focused on two systems. One is the calculation system driven by fluctuations called Brownian circuits, which achieve computational universality. We have developed the theory of the Brownian circuits to work under deterministic noise, namely chaotic fluctuations, using chaotic synchronization. The other is a stochastic resonance theory for logical operations. We have applied this theory to higher dimensional systems such as a genetic network model and proposed a new method how to parallelize logic gates in such systems.