Senior Researcher
Department of Dynamic Brain Imaging
Brain Information Communication Research Laboratory Group
ATR Institute International

Current Research

My research interest is to pursue computational principles in the visual cortex, especially, intermediate to higher visual areas. The main approach is to use Bayesian hierarchical learning models adapted to natural visual inputs and relate them to experimental data from neurophysiology. A particular emphasis is on the importance of bidirectional (feedforward/feedback) processing in high-level visual representation and computation.

Publication list


Personal Activities

I have been enjoying since my childhoold playing European classical music with the piano. My recent favorites are French modern pieces, especially, Debussy and Ravel.

Here are some of my performances on YouTube.

I won the third place at Ikaruga music competition in 2016 (amateur, superior level).

Previous Research

I was originally in "hard-core" computer science, working on applying discrete mathematics such as automata, logic, and type theory to design of programming languages in the direction of helping programmers in safety, productivity, and efficiency. My main target in this research direction was to use theory of tree automata to the design of type-safe programming languages specialized to processing XML data. The project ended in 2010.


Foundations of XML Processing: The Tree-automata approach (Cambridge University Press)


My favorite quotes

"... the process of acceptance will pass through the usual four stages:

  1. This is worthless nonsense.
  2. This is an interesting, but perverse, point of view.
  3. This is true, but quite unimportant.
  4. I always said so."

--- J.B.S. Haldane (1963)