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  • 标题:Shape recognition and classification in electro-sensing
  • 本地全文:下载
  • 作者:Habib Ammari ; Thomas Boulier ; Josselin Garnier
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2014
  • 卷号:111
  • 期号:32
  • 页码:11652-11657
  • DOI:10.1073/pnas.1406513111
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:This paper aims at advancing the field of electro-sensing. It exhibits physical mechanisms underlying shape perception for weakly electric fish. These fish orient themselves at night in complete darkness by using their active electrolocation system. They generate a stable, relatively high-frequency, weak electric field and perceive the transdermal potential modulations caused by a nearby target with different electromagnetic properties than the surrounding water. The main result of this paper is a scheme that explains how weakly electric fish might identify and classify a target, knowing in advance that the latter belongs to a certain collection of shapes. The scheme is designed to recognize living biological organisms. It exploits the frequency dependence of the electromagnetic properties of living organisms, which comes from the capacitive effects generated by the cell membrane structure. When measurements are taken at multiple frequencies, the fish might use the spectral content of the perceived transdermal potential modulations to classify the living target.
  • 关键词:inverse conductivity problem ; polarization tensor ; shape classification
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