自己組織モデルのための神経場における局在振動の研究  [in Japanese] Localized Oscillatory Excitation on Nerve Fields for Self-Organizing Neural Models  [in Japanese]

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Author(s)

    • 宮田 龍太 MIYATA Ryota
    • 琉球大学大学院理工学研究科機械システム工学専攻 Graduate school of Engineering and Science, University of the Ryukyus
    • 伊達 章 DATE Akira
    • 宮崎大学工学部情報システム工学科 Faculty of Engineering, University of Miyazaki

Abstract

情報分離に伴って生じる結び付け問題の解決策として,認識細胞の興奮が振動的で,同対象を認識する細胞同士の振動が同位相であることで情報の結び付きを表現しているという同期仮説を,二つの自己組織神経場モデルによる情報分離モデルに導入するための基礎研究を行った.二つのメキシカンハット結合をもつ振動子場が,外部入力の極大付近に二つの局在振動を安定に保持し,各局在振動内では同位相に,局在振動間では逆位相に引き込むことを示した.

As a solution to the binding problem, there is a hypothesis that the binding of information is represented by phase-locking among oscillatory recognition cells. We conducted a basic study to implement this hypothesis into a neural model of separated extraction of information by two self-organizing neural fields. We showed that a neural oscillator field with two Mexican-hat connection patterns keeps two or more than two localized oscillatory excitations stably around local maximums of external inputs, and also realizes in-phase phase-locking within a localized oscillatory excitation, but anti-phase phase-locking between different localized oscillatory excitations.

Journal

  • IEICE technical report

    IEICE technical report 109(53), 13-18, 2009-05-18

    The Institute of Electronics, Information and Communication Engineers

References:  5

Cited by:  3

Codes

  • NII Article ID (NAID)
    110007333645
  • NII NACSIS-CAT ID (NCID)
    AN10091178
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    09135685
  • NDL Article ID
    10247391
  • NDL Source Classification
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL Call No.
    Z16-940
  • Data Source
    CJP  CJPref  NDL  NII-ELS 
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