Research of spontaneous local learning rule on multi-cellular networks

2023 Fiscal Year Final Research Report

• Project Area: Multicellular neurobiocomputing
• Project/Area Number: 21H05165
• Research Category: Grant-in-Aid for Transformative Research Areas (B)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (IV)
• Research Institution: Doshisha University (2022-2023); Okayama University (2021)
• Principal Investigator: Matsui Teppei 同志社大学, 脳科学研究科, 教授 (10725948)
• Co-Investigator(Kenkyū-buntansha): 根東 覚 東京大学, ニューロインテリジェンス国際研究機構, 特任准教授 (20301757) ; 桂林 秀太郎 福岡大学, 薬学部, 教授 (50435145)
• Project Period (FY): 2021-08-23 – 2024-03-31
• Keywords: 自発活動 / マルチセルラ

Outline of Final Research Achievements

The goal of understanding the characteristics of information processing in biological brains has led to multifaceted research at the synaptic, cellular, and cerebral network levels. Particularly at the synaptic and cellular levels, insights were gained into the mechanisms of visual information transmission and neural circuit development in different brain regions during sensory information processing in the cerebral cortex's visual areas. Furthermore, at the synaptic level, a new analysis method for synaptic development in cultured cell systems was proposed. Additionally, research primarily at the cerebral network level focused on the inherent spontaneous activity of biological brains, combining human brain big data with model animal brain analysis, and developing novel analysis methods using deep learning and machine learning.

Free Research Field

神経科学

Academic Significance and Societal Importance of the Research Achievements

この研究は、生体脳の情報処理機構を深く理解するための基礎を築くことに貢献するものである。学術的には、シナプスや細胞の動作原理に関する新しい知見を提供し、大脳ネットワークを通じた情報の流れの解明に貢献する。社会的には、神経変性疾患の早期発見や治療法の開発、教育や人工知能技術の向上に役立つ可能性があり、幅広い分野に影響を与えることが期待される。