Distance discrimination of weakly electric fish with a sweep of tail bending movements

Miyoung Sim, Dae Eun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Weakly electric fish use active electrolocation to identify objects. They generate electric field by the electric organ discharge and perceive the distortion of electric image with existence of certain object. There have been many researches to comprehend the electrolocation mechanism of electric fishes. It is known that the ratio between the maximal slope of electric image and its maximal amplitude can discriminate object distances, regardless of object size and conductivity. In this paper, we suggest that the temporal pattern with tail bending is another cue to disciminate object distances. As a result, the electric field pattern for a specific electroreceptor shows consistency, regardless of object size and conductivity, when the distance is constant. Also, the lateral location of an object significantly changes the temporal pattern of electric image.

Original languageEnglish
Title of host publicationAdvances in Artificial Life
Subtitle of host publicationDarwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers
Pages59-66
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2011 Jul 11
Event10th European Conference of Artificial Life, ECAL 2009 - Budapest, Hungary
Duration: 2009 Sep 132009 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5777 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th European Conference of Artificial Life, ECAL 2009
CountryHungary
CityBudapest
Period09/9/1309/9/16

Fingerprint

Sweep
Fish
Discrimination
Tail
Electric fields
Conductivity
Electric Field
Movement
Object
Lateral
Slope

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sim, M., & Kim, D. E. (2011). Distance discrimination of weakly electric fish with a sweep of tail bending movements. In Advances in Artificial Life: Darwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers (PART 1 ed., pp. 59-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5777 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-21283-3_8
Sim, Miyoung ; Kim, Dae Eun. / Distance discrimination of weakly electric fish with a sweep of tail bending movements. Advances in Artificial Life: Darwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers. PART 1. ed. 2011. pp. 59-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
@inproceedings{f366f815a2234b24bcf2612f07ee8d86,
title = "Distance discrimination of weakly electric fish with a sweep of tail bending movements",
abstract = "Weakly electric fish use active electrolocation to identify objects. They generate electric field by the electric organ discharge and perceive the distortion of electric image with existence of certain object. There have been many researches to comprehend the electrolocation mechanism of electric fishes. It is known that the ratio between the maximal slope of electric image and its maximal amplitude can discriminate object distances, regardless of object size and conductivity. In this paper, we suggest that the temporal pattern with tail bending is another cue to disciminate object distances. As a result, the electric field pattern for a specific electroreceptor shows consistency, regardless of object size and conductivity, when the distance is constant. Also, the lateral location of an object significantly changes the temporal pattern of electric image.",
author = "Miyoung Sim and Kim, {Dae Eun}",
year = "2011",
month = "7",
day = "11",
doi = "10.1007/978-3-642-21283-3_8",
language = "English",
isbn = "9783642212826",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "59--66",
booktitle = "Advances in Artificial Life",
edition = "PART 1",

}

Sim, M & Kim, DE 2011, Distance discrimination of weakly electric fish with a sweep of tail bending movements. in Advances in Artificial Life: Darwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5777 LNAI, pp. 59-66, 10th European Conference of Artificial Life, ECAL 2009, Budapest, Hungary, 09/9/13. https://doi.org/10.1007/978-3-642-21283-3_8

Distance discrimination of weakly electric fish with a sweep of tail bending movements. / Sim, Miyoung; Kim, Dae Eun.

Advances in Artificial Life: Darwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers. PART 1. ed. 2011. p. 59-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5777 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Distance discrimination of weakly electric fish with a sweep of tail bending movements

AU - Sim, Miyoung

AU - Kim, Dae Eun

PY - 2011/7/11

Y1 - 2011/7/11

N2 - Weakly electric fish use active electrolocation to identify objects. They generate electric field by the electric organ discharge and perceive the distortion of electric image with existence of certain object. There have been many researches to comprehend the electrolocation mechanism of electric fishes. It is known that the ratio between the maximal slope of electric image and its maximal amplitude can discriminate object distances, regardless of object size and conductivity. In this paper, we suggest that the temporal pattern with tail bending is another cue to disciminate object distances. As a result, the electric field pattern for a specific electroreceptor shows consistency, regardless of object size and conductivity, when the distance is constant. Also, the lateral location of an object significantly changes the temporal pattern of electric image.

AB - Weakly electric fish use active electrolocation to identify objects. They generate electric field by the electric organ discharge and perceive the distortion of electric image with existence of certain object. There have been many researches to comprehend the electrolocation mechanism of electric fishes. It is known that the ratio between the maximal slope of electric image and its maximal amplitude can discriminate object distances, regardless of object size and conductivity. In this paper, we suggest that the temporal pattern with tail bending is another cue to disciminate object distances. As a result, the electric field pattern for a specific electroreceptor shows consistency, regardless of object size and conductivity, when the distance is constant. Also, the lateral location of an object significantly changes the temporal pattern of electric image.

UR - http://www.scopus.com/inward/record.url?scp=79959945934&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79959945934&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-21283-3_8

DO - 10.1007/978-3-642-21283-3_8

M3 - Conference contribution

AN - SCOPUS:79959945934

SN - 9783642212826

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 59

EP - 66

BT - Advances in Artificial Life

ER -

Sim M, Kim DE. Distance discrimination of weakly electric fish with a sweep of tail bending movements. In Advances in Artificial Life: Darwin Meets von Neumann - 10th European Conference, ECAL 2009, Revised Selected Papers. PART 1 ed. 2011. p. 59-66. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-21283-3_8