生物学的に妥当なリカレントニューラルネットワークを用いた最適状態表現の学習

• Project Area: Multicellular neurobiocomputing: Understanding and advancing towards biological supremacy
• Project/Area Number: 25H02594
• Research Category: Grant-in-Aid for Transformative Research Areas (A)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (IV)
• Research Institution: The University of Tokyo
• Principal Investigator: 森田 賢治 東京大学, 大学院教育学研究科(教育学部), 准教授 (60446531)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000); Fiscal Year 2025: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)