• DocumentCode
    2275425
  • Title

    Data-Brain Modeling Based on Brain Informatics Methodology

  • Author

    Chen, Jianhui ; Zhong, Ning

  • Author_Institution
    Int. WIC Inst., Beijing Univ. of Technol., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    41
  • Lastpage
    47
  • Abstract
    This paper presents a case study on data-brain construction based on brain informatics (BI) methodology. The data-brain is a conceptual brain data model, which represents functional relationships among multiple human brain data sources, with respect to all major aspects and capabilities of human information processing system for systematic investigation and understanding of human intelligence. On one hand, developing such a data-brain is a core research issue in BI. On the other hand, BI methodology supports such a data-brain construction. A graphical modeling language, the view-fact-dimension-model (VFDM), is proposed. Using the VFDM, we can take part in the data-brain construction easily, which provides a long-term, holistic vision to understand the principle and mechanisms of human information processing system.
  • Keywords
    brain models; medical computing; simulation languages; visual languages; brain informatics; conceptual brain data model; data-brain construction; data-brain modeling; functional relationships; graphical modeling language; human information processing system; human intelligence; view-fact-dimension-model; Analytical models; Bismuth; Brain modeling; Data analysis; Data models; Databases; Electroencephalography; Humans; Informatics; Information processing; Brain Informatics; Conceptual model; Data-Brain; ER model; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.409
  • Filename
    4740423