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
Link To Document :
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