Data-brain modeling for systematic brain informatics

Authors:
Jianhui Chen;Ning Zhong
Affiliations:
International WIC Institute, Beijing University of Technology, Beijing, P.R. China;International WIC Institute, Beijing University of Technology, Beijing, P.R. China and Dept of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan
Venue:
BI'09 Proceedings of the 2009 international conference on Brain informatics
Year:
2009

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Abstract

In order to understand human intelligence in depth and find the cognitive models needed by Web Intelligence (WI), Brain Informatics (BI) adopts systematic methodology to study human "thinking centric" cognitive functions, and their neural structures and mechanisms in which the brain operates. For supporting systematic BI study, we propose a new conceptual brain data model, namely Data-Brain, which explicitly represents various relationships among multiple human brain data sources, with respect to all major aspects and capabilities of human information processing systems (HIPS). On one hand, constructing such a Data-Brain is the requirement of systematic BI study. On the other hand, BI methodology supports such a Data-Brain construction. In this paper, we design a multi-dimension framework of Data-Brain and propose a BI methodology based approach for Data-Brain modeling. By this approach, we can construct a formal Data-Brain which provides a long-term, holistic vision to understand the principles and mechanisms of HIPS.