論文

査読有り
2006年

On self-organizing map based classification of insect neurons

TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4
  • Hiroki Urata
  • ,
  • Akitsugu Ohtsuka
  • ,
  • Teijiro Isokawa
  • ,
  • Yoichi Seki
  • ,
  • Naotake Kamiura
  • ,
  • Nobuyuki Matsui
  • ,
  • Hidetoshi Ikeno
  • ,
  • Ryohei Kanzaki

開始ページ
1204
終了ページ
1207
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
IEEE

In this paper, a systematic method based on selforganizing maps is presented to classify interneurons of silkworm moths. Denseness of branching structures and existence of thick main dendrites are quantified by six fractal dimension values and three values calculated from images to which fundamental processing techniques are applied, respectively. Such values are employed as nine elements in training data for a map. The classification result is obtained as clusters with units in the trained map. Experimental results establish that the classification executed by the proposed method is comparable in accuracy to the manually executed classification.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000246127502037&DestApp=WOS_CPL
ID情報
  • ISSN : 0886-1420
  • Web of Science ID : WOS:000246127502037

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