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BrainScaler, an AI-powered framework for multi-scale brain modeling
Gutierrez Carlos EnriqueVisiting Researcher, Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University -
Neural code conversion between individuals and species
Yukiyasu KamitaniProfessor, Kyoto University Graduate School of Informatics -
Study of Virtual Neuromodulation and Virtual Treatment in The Digital Brain
Takuto OkunoSpecially appointed assistant professor, Tokyo Metropolitan University Graduate School of Human Health Sciences -
Mesoscopic level digital brain model toward novel therapeutic interventions for mental disorders
Yuichi YamashitaSection Chief, National Institute of Neuroscience, National Center of Neurology and Psychiatry -
Development of scaling techniques on the complexity of a microcircuit structure across species and resolutions towards building a human digital brain from bottom up
Tadashi YamazakiAssociate Professor, The University of Electro-Communications Graduate School of Informatics and Engineering -
Accelerating large-scale computational neuroscience by LLM
Riichiro HiraAssociate professor, Institute of Science Tokyo Graduate School of Medical and Dental Sciences -
Development of Digital Twin of Common Marmoset
Ken NakaeAssociate Professor, University of Fukui Graduate School of Engineering -
Study of motion and sensation in VR environments
Yasuharu KoikeProfessor, Institute of Integrated Research, Institute of Science Tokyo -
Development of mathematical models of brain dynamics for neurodevelopmental disorders through data assimilation
Keiichi KitajoProfessor, National Institute for Physiological Sciences, National Institute of Natural Sciences -
Inverse correlation search and external digitization of brain information using generative AI
Yuji IkegayaProfessor, The University of Tokyo Graduate School of Pharmaceutical Sciences