Grant-in-Aid for Transformative Research Areas (A) 2024-2029
The human brain, despite being composed of the seemingly unstable biological elements known as neurons, demonstrates the ability to perform advanced information processing autonomously and adaptively with remarkable energy efficiency. Understanding the information processing architecture of the brain is a critical interdisciplinary challenge spanning biology, engineering, and information science. This Research Area aims to pioneer a new academic discipline to unravel the brain's information processing mechanisms through in vivo and in vitro experiments, formulate the findings in mathematical models, and explore their potential applications in systems applications. The achievements herein would deepen our understanding of the nervous system and also lead to a more efficient, robust, and adaptable information and communication technology that supports next-generation super-smart societies.
Yuichi KatoriProfessorFuture University-Hakodate
Teppei MatsuiProfessorDoshisha University
Hideaki YamamotoAssociate ProfessorTohoku University
Takashi TaniiProfessorWaseda University
Ayumi Hirano-IwataProfessorTohoku University
Yoshito MasamizuProfessorDoshisha University
Haruyuki KamiyaProfessorHokkaido University
Takashi KohnoProfessorThe University of Tokyo
Yutaka HirataProfessorChubu University
Extract metrics from large-scale data on multicellular neuronal dynamics (Matsui Team) and formulate them as mathematical models (Katori Team).
DetailBuild biointerface technologies (Tanii Team) to test the models formulated for normal (Yamamoto Team) and pathological (Hirano-Iwata Team) networks in living neurons.
DetailObtain physiological data on multicellular computing and underlying synaptic functions using in vivo calcium imaging (Masumizu Team) and electrophysiological recording (Kamiya Team).
DetailDevelop hardware for implementing multicellular models (Kohno Team) and apply it for adaptive robot (Hirata Team).
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