Introduction of research

In our laboratory, we are studying the mechanisms by which the brain performs learning from the following perspectives. The links for each item are to the web sites of the faculty members in charge.

• Learning Model Team
  • We elucidate the mechanism by which the brain extracts and learns important information from a vast amount of information through the construction of neural network models.
  • Related Fields
    • Learning Theory
    • Neural Networks
    • Deep learning
    • Neuroscience
• Movement Analysis Team
  • We use data analysis to reveal the mechanisms by which the brain learns movement and the tricks of movement acquired by the brain.
  • Related Fields
    • Biomechanics
    • Sports Science
    • Data science
• Physical Simulation Team
  • We will consider how the brain generates appropriate exercise based on sensor information and verify it using a physical simulator.
  • Related Fields
    • Robotics
    • Learning theory
    • Control engineering
• Large-scale neural simulator construction team
  • The team constructs a precise simulator of the nervous system and analyzes its behavior to elucidate the mechanism of information processing in the brain.
  • Related Fields
    • Parallel computing
    • Large-scale computation
    • Neurophysiology
    • Network theory
• Neuroscience Team
  • We analyze neurophysiological data to understand how the nervous system learns.
  • Related Fields
    • Neurophysiology
    • Data science
• Music Performance and Expression Technology Team
  • We use information science methods to examine emotional expression skills through music, etc., and use motion analysis to elucidate the tricks of musical instrument playing skills.