Towards systematic human brain data management using a data-brain based GLS-BI system

  • Authors:

  • Jianhui Chen;Ning Zhong;Runhe Huang

  • Affiliations:

  • International WIC Institute, Beijing University of Technology, Beijing, China;International WIC Institute, Beijing University of Technology, Beijing, China and Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan;Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan

  • Venue:
  • BI'10 Proceedings of the 2010 international conference on Brain informatics
  • Year:
  • 2010

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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.