Research Background and Purpose

SHITSUKAN is an important research topic for informatics, neuroscience, and industry. We have learnt from our past research that we should realize not only the superficial SHITSUKAN processing that links the sensory information to SHITSUKAN attribute variables and/or linguistic labels, but also the underlying hidden processing that we call Deep SHITSUKAN. Specifically, what we consider Deep SHITSUKAN are as follows:

• The process of calculating the ecological values of things or events from SHITSUKAN, including the subsequent process to induce emotional body responses.
• The process of constructing action-predictive models of the external world in the brain from SHITSUKAN.
• Processes in which SHITSUKAN processing is influenced by the characteristics of the individuals, such as age, brain dysfunction, and personal experiences.
• The process of determining what are real and fake through multimodal sensory information of actual objects.

Research Formation

Summarizing group

• Shin’ya Nishida
• Graduate School of Informatics, Kyoto University

• Daisuke Iwai
• Osaka University

• Takayuki Okatani
• Tohoku University

• Yukiyasu Kamitani
• ATR Computational Neuroscience Laboratories

• Yasuaki Kakehi
• The University of Tokyo

• Hidehiko Komatsu
• Brain Science Institute, Tamagawa University

• Imari Sato
• National Institute of Informatics

• Kyoko Suzuki
• Department of Behavioral Neurology and Cognitive Science, Tohoku University

• Shigeki Nakauchi
• Toyohashi University of Technology

• Masashi Nakatani
• Faculty of Environment and Information Studies, Keio University

• Ko Nishino
• School of Informatics, Kyoto University

• Shinsaku Hiura
• University of Hyogo

• Takafumi Minamimoto
• National Institutes for Quantum and Radiological Science and Technology

• Yoshihiro Watanabe
• Tokyo Institute of Technology

Advisor

• Ejima Yoshimichi
• Okayama University / Kyoto University / Kyoto Institute of Technology

• Kouno kenji
• Kyoto University

• Shoji Tominaga
• Nagano University

• Hiroshi Harashima

Expected Research Achievements