独立成分分析による Optical Imaging Data からの神経活動分離 Blind Separation of Neuronal Activities from Optical Imaging Data

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著者

    • 小林 祐喜 KOBAYASHI Yuki
    • 玉川大学工学部 Department of Information and Communication Engineering, Faculty of Engineering, Tamagawa University
    • 相原 威 AIHARA Takeshi
    • 玉川大学工学部 Department of Information and Communication Engineering, Faculty of Engineering, Tamagawa University
    • 塚田 稔 TSUKADA Minoru
    • 玉川大学工学部 Department of Information and Communication Engineering, Faculty of Engineering, Tamagawa University

抄録

The optical imaging method is one of the most useful techniques to investigate dynamic neuronal activities of the brain. Available forms of the method, however, require averaging of the optical records tens of times. A new version presented here has been developed by application of the Independent Component Analysis (ICA), and it is devised to circumvent the time-consuming averaging process. As a preliminary work, parameters associated with ICA were determined on the basis of a computer simulation involving membrane potentials and noise signals. The method was then applied to the optical data obtained from hippocampal slices. The neuronal activities extracted by the present technique are in good agreement with the results produced by conventional technique that needs extensive averaging.

収録刊行物

  • 日本神経回路学会誌 = The Brain & neural networks

    日本神経回路学会誌 = The Brain & neural networks 8(1), 3-12, 2002-03-05

    Japanese Neural Network Society

参考文献:  18件中 1-18件 を表示

各種コード

  • NII論文ID(NAID)
    10010424425
  • NII書誌ID(NCID)
    AA11658570
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    1340766X
  • データ提供元
    CJP書誌  J-STAGE 
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