Haruo HOSOYA

Presto Researcher, JST "Decoding and Controlling Brain Information" Research Area Department of Dynamic Brain Imaging ATR International Amari Research Unit Brain Science Institute RIKEN Email:

Current Research

My current research topic is to use Bayesian statistics and machine learning methods for the understanding the computation performed in cerebral cortex.

Particular interests include:

• algorithms for Bayesian networks to model the inference and learning mechanism in visual cortex
• relevance between natural scene statistics and representations in visual cortex
• Bayesian data analysis to reveal and decode representations in visual cortex

Publication list

Previous Research

My previous research topic was to apply 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 is to use theory of tree automata to the design of programming languages specialized to processing XML data.

Book

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

Personal Activities

• Piano playing (European classics)