Brain information dynamics underlying multi-area interconnectivity and parallel processing

2022 Fiscal Year Final Research Report

• Project Area: Brain information dynamics underlying multi-area interconnectivity and parallel processing
• Project/Area Number: 17H06308
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: The University of Tokyo
• Principal Investigator: Bito Haruhiko 東京大学, 大学院医学系研究科(医学部), 教授 (00291964)
• Co-Investigator(Kenkyū-buntansha): 松崎 政紀 東京大学, 大学院医学系研究科(医学部), 教授 (50353438) ; 喜多村 和郎 山梨大学, 大学院総合研究部, 教授 (60423159) ; 川口 泰雄 玉川大学, 脳科学研究所, 研究員 (40169694) ; 石井 信 京都大学, 情報学研究科, 教授 (90294280)
• Project Period (FY): 2017-06-30 – 2022-03-31
• Keywords: 脳・神経 / 神経回路 / カルシウム / 情報工学

Outline of Final Research Achievements

In order to establish "brain information dynamics" as a new academic discipline and foundation for elucidating the bioinformatics structure of brain dynamics, three research projects were promoted: A01 Brain Information Decoding (decoding brain information dynamics based on information measurement and structural design, and promoting integrated theory), A02 Brain Information Measurement (analyzing brain information dynamics during cognitive and motor tasks by developing and using new neural activity sensors with the highest performance), and A03 Brain Information Network Construction (elucidating brain information dynamics in human decision making and standardizing methodology for developing general artificial intelligence).

Free Research Field

脳神経科学

Academic Significance and Societal Importance of the Research Achievements

脳情報動態の生命情報工学的構造を解明する新しい学問的基盤「脳情報動態学」のもたらす成果により、我が国の脳科学の抜本的発展とライフサイエンス・情報科学全般との融合が推進され、脳神経医学の水準向上・強化にも大いにつながると考えられる。