PATON : 文脈依存性を表現する動的神経回路網モデル

• 望月 彰子

  東京農工大学工学部

• 大森 隆司

  東京農工大学大学院生物システム応用科学研究科 新技術事業団さきがけ研究21

書誌事項

タイトル別名

• PATON : A Dynamic Neural Network Model of Context Dependent Memory Access

抄録

In our real life, it is well known that our cognitive process is always influenced by our environment. It is called as “context dependency” of the cognition. In this paper, we propose a memory model “PATON” that is based on a macroscopic structure of a cortico-hippocampal memory system; it has three components of a symbolic layer, a pattern layer, and an attentional system. The attentional system sends signals to control a change of the model's structure dynamically. The change induces a modulation of metric between memorized items. Computer simulation shows an association process dependent upon a context based on the modulation.

収録刊行物

• 日本神経回路学会誌

  日本神経回路学会誌 3 (3), 81-89, 1996

  日本神経回路学会

詳細情報

• CRID: 1390282679444169344
• NII論文ID: 10008841165
• NII書誌ID: AA11658570
• DOI: 10.3902/jnns.3.81
• ISSN: 18830455
• ISSN: 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