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Abstract:
Aiming at the characteristics of thinking centric studies, Brain Informatics (BI) emphasizes on a systematic approach to investigate human information processing mechanisms. Systematic human brain data management is the basic of BI methodology. It needs to realize not only the storage and data publishing oriented management, but also the systematic analysis oriented management. However, the traditional brain databases cannot effectively support such a systematic human brain data management. In this paper, we propose a Data-Brain based framework, Global Learning Scheme for BI (GLS-BI), to dynamically integrate BI data and analytical resources for realizing the systematic analysis oriented brain data management. The GLS-BI offsets the disadvantages of the existing brain databases and provides a practical approach towards the systematic human brain data management. © Springer-Verlag Berlin Heidelberg 2010.
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ISSN: 0302-9743
Year: 2010
Volume: 6334 LNAI
Page: 365-376
Language: English
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1