Learning system by cooperation of living neuronal network and fuzzy pattern discrimination method.

2016 Fiscal Year Final Research Report

• Project/Area Number: 24300091
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Sensitivity informatics/Soft computing
• Research Institution: Kwansei Gakuin University
• Principal Investigator: Kudoh Suguru 関西学院大学, 理工学部, 教授 (10344110)
• Project Period (FY): 2012-04-01 – 2017-03-31
• Keywords: ファジィ推論 / 神経工学 / ニューロエンジニアリング / MEA / 分散培養 / 履歴効果 / パターンニング

Outline of Final Research Achievements

By using fuzzy reasoning, suitable for analyzing biological signals, we established methods for neuronal electrical activity pattern identification and analyzed the short-term memory effect in a semi - artificial cultured neural network. This hysteresis effect shows that it is possible to actually use living neuronal cells as a memory element. We also clarified that input to the living neuronal network not only evoked the action potential at a nerve cell but also that the influence of this input changes the internal state of the neuronal network and propagates over time in complicated way. These results suggest the possibility of realizing intelligent information processing quite different from the operation principle of conventional artificial intelligence.

Free Research Field

神経知能工学