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.
['Jianhui Chen', 'Ning Zhong']
Data-Brain Modeling Based on Brain Informatics Methodology