Neural Coding and Brain Computing Unit (Tomoki Fukai)


Cognitive functions of the brain, such as sensory perception, learning and memory, and decision making emerge from computations by neural networks. We consider that the advantages of biological neural computation in compared with machine computation reside in the way that the brain’s neural circuits implement computation. To uncover neural code and circuit mechanisms of brain computing, we take computational and theoretical approaches. Our goal is to construct a minimal but yet effective description of powerful and flexible computation implemented by brain’s neural circuits.

Major research interests

  • Mechanisms of hierarchical probabilistic computation by the brain
  • Roles of dendrites in network-level learning and computation
  • Circuit mechanisms of memory information processing
  • Deciphering neural code in large-scale neural activity data
  • Creating brain-inspired technologies for AI