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Sleep Physiological Dynamics Simulation with Fuzzy Set

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Brain Informatics (BI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7670))

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Abstract

Neuroscientists have investigated into the functional-structural mechanisms of sleep for a long time. However, the sleep physiology is so complex that the relations to brain structure are still mostly unknown. In this paper, we integrate the brain sleep switch model with fuzzy methodology, more specifically, combining the the mutual inhibition system of the sleep switch with a rule-based fuzzy reasoning system. Based on the extension of sleep switch, a model for sleep physiological dynamics is proposed. In addition, we implement the sleep mechanisms and integrate them into an object-oriented brain simulator. With the brain simulator, we can demonstrate sleep dynamics of the brain network with 3D-rendering system is demonstrated. The sleep physiological dynamics in brain become more intuitive and easier to realize.

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Authors and Affiliations

  1. Web Computing Lab., Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan

    Yu-Wen Chen & Hsing Mei

Authors
  1. Yu-Wen Chen
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  2. Hsing Mei
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Editor information

Editors and Affiliations

  1. Department of Enterprise Engineering, University of Rome “Tor Vergata”, Viale del Politecnico, 1, 00133, Roma, Italy

    Fabio Massimo Zanzotto

  2. Department of Medical Informatics, Faculty of Medicine, Shimane University, 89-1 Enya-cho, 693-8501, Izumo-city, Shimane, Japan

    Shusaku Tsumoto

  3. Department of Artificial Intelligence, Faculty of Mathematics and Natural Sciences, University of Groningen, Nijenborgh 9, 9747 AG, Groningen, Netherlands

    Niels Taatgen

  4. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Yiyu Yao

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© 2012 Springer-Verlag Berlin Heidelberg

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Chen, YW., Mei, H. (2012). Sleep Physiological Dynamics Simulation with Fuzzy Set. In: Zanzotto, F.M., Tsumoto, S., Taatgen, N., Yao, Y. (eds) Brain Informatics. BI 2012. Lecture Notes in Computer Science(), vol 7670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35139-6_15

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  • DOI: https://doi.org/10.1007/978-3-642-35139-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35138-9

  • Online ISBN: 978-3-642-35139-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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