Eizaburo Doi


ResearcherKamitani Lab @ ATR

I am interested in the way we perceive the world. Take an example, we see colors. What exactly is this psychological experience in terms of physical variables and their transformations? How is such a complex and robust computation realized in our brain by organizing a population of neurons that are individually limited in their functionality? Why do we process sensory input in such a specific manner -- does that make sense in light of engineering principles?

I approach these questions by identifying tasks of neural systems, developing models that solve the hypothesized tasks, and testing the models with experimental data. The key to my theoretical approach is to work closely with experimental data by examining published data, collecting data myself, and collaborating with experts of experiments.

The most important feature of this approach is its generality. It leads us to better understand the way one perceives the world with its individual variability caused by different genetic and environmental backgrounds. The same theoretical framework is both informed from and applicable to different sensory modalities, different animals, and artificial systems beyond biology.

Research topics

Decision making (2017-)

Time perception (2020-)

Reinforcement learning (2018-)

Biophysical limit to vision (2015-)

Optimal population coding (2003-14)

Color vision (1999-2007)