空間マップ形成のための神経回路モデル

書誌事項

タイトル別名
  • A Neural Network Model for Self-Organization of Spatial Maps

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Psychological findings suggest that humans keep spatial relation between objects in memory as ‘cognitive maps’, and that three-dimensional spatial information is represented by a set of two-dimensional information in the brain. Based on these findings, we propose a neural network model that forms a two-dimensional spatial map self-organizingly. The model is mainly composed of two functionally different parts. One represents spatial position of objects by using signals from saccadic eye movements. The other represents relative position of objects existing simultaneously in a visual field. This model was simulated on a computer to be shown to have the desired behavior.

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詳細情報 詳細情報について

  • CRID
    1390001204467598080
  • NII論文ID
    10008841100
  • NII書誌ID
    AA11658570
  • DOI
    10.3902/jnns.3.3
  • ISSN
    18830455
    1340766X
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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