Stochastic neurocomputing with incorporating the survival strategies of micro-algae cells

2016 Fiscal Year Final Research Report

• Project/Area Number: 25280092
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Soft computing
• Research Institution: Institute of Physical and Chemical Research
• Principal Investigator: Ozasa Kazunari 国立研究開発法人理化学研究所, 前田バイオ工学研究室, 専任研究員 (10231234)
• Research Collaborator: Song Simon Hanyang University, Department of Mechanical Engineering, Professor
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: ソフトコンピューティング / 生物物理 / 微生物 / 生存戦略 / 確率的情報処理

Outline of Final Research Achievements

By using biological diversity and survival strategy for information processing, it is expected that more flexible processing and witty judgment can be realized on the computer. In this study, we studied the survival strategy behavior and diversity of the swimming micro-algae Euglena gracilis by experiments and aimed at implementing them as soft computing function. Neurocomputing with photo-resistive noise oscillators as state variables of the neurons and the particle simulation type neurocomputing were targeted. We realized the function to acquire approximate solutions one after another in a short time to the nearly NP-hard problems such as combinatorial optimization problems. Furthermore, stochastic neurocomputing was realized by a new approach of stochastic calculation rule application.

Free Research Field

微生物工学