My research focuses on "neural decoding technologies," which aim to read out perceptions, memories, and motor intentions from the brain. Specifically, I specialize in developing the software and statistical methodologies required for this decoding process. As an example, in 2024, we demonstrated that images imagined in the human mind can be reconstructed from brain signals measured by fMRI (Figure 1), although improving the reconstruction accuracy remains an ongoing goal. While my previous work has primarily involved humans, at Hokkaido University, I plan to collaborate with students and researchers at the Faculty of Science to expand the scope of my research to include animal models.

Through the development of these neural decoding methodologies, I am also integrating relatively new computational technologies that can accelerate computation, such as quantum computing, quantum-inspired algorithms, and quantum annealing. By leveraging these cutting-edge tools, I aim to achieve scalable processing of large-scale neural data (Figure 2).