Development of a Multi-channel Random Noise Generator Capable of Detecting Signals Across Multiple Orders of Magnitude

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K04415
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 21030:Measurement engineering-related
• Research Institution: Hakodate National College of Technology
• Principal Investigator: Takada Akio 函館工業高等専門学校, 生産システム工学科, 教授 (40206751)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 電子回路 / 非線形現象 / 積分発火回路 / ノイズ誘起同期 / ホワイトノイズ発生 / ノイズスペクトル

Outline of Final Research Achievements

The aim was to develop a multi-channel noise generator utilizing nonlinear phenomena. We achieved the simplification of dynamical systems for generating random noise and miniaturization of circuits using chip components. Additionally, we identified the combinations of circuit parameters to be set. However, some circuits fabricated with the same specifications failed to generate noise, and determining the cause was difficult, making continued research challenging. Therefore, the focus of the research shifted to how noise beneficially affects information transmission in nerve cells, studying the noise-induced simultaneous firing phenomenon of the integrate-and-fire oscillatory circuit. As a result, we deepened our understanding of the role of noise in weak signal detection and signal synchronization processes, opening the way for new scientific applications that mimic the characteristics of nerve cells.

Free Research Field

非線形電子回路システム

Academic Significance and Societal Importance of the Research Achievements

力学系の理論研究と応用の両面において新しい知見が得られ，他の複雑系の解析や制御に応用可能な手法を提供した．小型の実用的なノイズ発生器の開発に貢献し，集積回路やポータブルデバイスにおけるノイズの生成の研究に新たな道を開いた．
また，ノイズを加えたシンプルな神経細胞モデル，すなわち積分発火回路のノイズ誘起同期現象は，確率論的に解析することが可能であることを示し，結果としてノイズが信号同期プロセスに果たす役割を解明し，ニューロモルフィック技術への応用・展開を広げた．以上のことは，ノイズ発生の活用が期待される通信，計測，医療機器・ヘルスケアなどの分野で，新製品の開発を促進するものと期待される．