Skip to Main content Skip to Navigation
Journal articles

Shape recognition and classification in electro-sensing

Abstract : 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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01108797
Contributor : Serena Benassù <>
Submitted on : Friday, January 23, 2015 - 2:54:16 PM
Last modification on : Friday, June 12, 2020 - 11:02:06 AM

Links full text

Identifiers

Citation

Habib Ammari, Thomas Boulier, Josselin Garnier, Han Wang. Shape recognition and classification in electro-sensing. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2014, 111 (32), pp.11652-11657. ⟨10.1073/pnas.1406513111⟩. ⟨hal-01108797⟩

Share

Metrics

Record views

339