A mathematical model of planning in the prefrontal cortex

Makito Oku*, Kazuyuki Aihara

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

抄録

The prefrontal cortex is involved in a lot of complex cognitive behaviours, such as problem solving, planning, reasoning, and decision making. However, the biological mechanisms of these computations are not clear. To understand the mechanisms, we theoretically consider the experimental result of path-planning task by Mushiake et al., using a mathematical model which we name the potential network model. The result of simulations shows that our model is able to take a correct path in most trials regardless of goal positions and block patterns. Our model also reproduces the characteristics of neurons' activities both in the prefrontal cortex and the primary motor cortex. This study indicates that although the potential network model is abstract, it can be useful for modelling higher brain functions.

本文言語英語
ホスト出版物のタイトルProceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
ページ557-560
ページ数4
出版ステータス出版済み - 2007
イベント12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, 日本
継続期間: 2007/01/252007/01/27

出版物シリーズ

名前Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07

学会

学会12th International Symposium on Artificial Life and Robotics, AROB 12th'07
国/地域日本
CityOita
Period2007/01/252007/01/27

ASJC Scopus 主題領域

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用

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