Data-Brain Modeling for Systematic Brain Informatics

  • Jianhui Chen
  • Ning Zhong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5819)


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jianhui Chen
    • 1
  • Ning Zhong
    • 1
    • 2
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingP.R. China
  2. 2.Dept of Life Science and InformaticsMaebashi Institute of TechnologyMaebashi-CityJapan

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