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Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System

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Brain Informatics (BI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6334))

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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.

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Author information

Authors and Affiliations

  1. International WIC Institute, Beijing University of Technology, Beijing, 100124, China

    Jianhui Chen & Ning Zhong

  2. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, 371-0816, Japan

    Ning Zhong

  3. Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Runhe Huang

Authors
  1. Jianhui Chen
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  2. Ning Zhong
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  3. Runhe Huang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, S4S 0A2, Regina, SK, Canada

    Yiyu Yao

  2. Rensselaer Polytechnic Institute, NY 12180, Troy, USA

    Ron Sun

  3. McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

    Tomaso Poggio

  4. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  5. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371.0816, Maebashi-City, Japan

    Ning Zhong

  6. York University, Toronto, ON, Canada

    Jimmy Huang

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© 2010 Springer-Verlag Berlin Heidelberg

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Chen, J., Zhong, N., Huang, R. (2010). Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds) Brain Informatics. BI 2010. Lecture Notes in Computer Science(), vol 6334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15314-3_35

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  • DOI: https://doi.org/10.1007/978-3-642-15314-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15313-6

  • Online ISBN: 978-3-642-15314-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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