A finite element method of electric image in weakly electric fish

Sejoon Ahn, DaeEun Kim

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

1 Citation (Scopus)

Abstract

Weakly electric fish can generate an electric field with their electric organ (EO). Through 14,000 electroreceptors distributed on their skin, they can sense the electric field perturbation induced by a nearby prey or object. Many researchers have studied to reveal the mechanism of electrolocalization. Simulations are typically based on an analytical model which represents the EO as a set of charge, or a model based on finite-element method (FEM) in a 2-dimensional space. In this paper, we show a 3-dimensional FEM model to test the electric perturbation of various shapes of objects. Using this model, we show that a measure of caudal relative slope or tail-side half width at half maximum can estimate the lateral distance of a target object regardless of its size, shape and rostrocaudal position.

Original languageEnglish
Title of host publicationFrom Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings
Pages127-135
Number of pages9
DOIs
Publication statusPublished - 2012 Sep 14
Event12th International Conference on Simulation of Adaptive Behavior, SAB 2012 - Odense, Denmark
Duration: 2012 Aug 272012 Aug 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7426 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Simulation of Adaptive Behavior, SAB 2012
CountryDenmark
CityOdense
Period12/8/2712/8/30

Fingerprint

Fish
Finite Element Method
Finite element method
Electric Field
Electric fields
Perturbation
Prey
Analytical Model
Skin
Analytical models
Tail
Lateral
Slope
Charge
Model-based
Target
Model
Estimate
Object
Simulation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ahn, S., & Kim, D. (2012). A finite element method of electric image in weakly electric fish. In From Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings (pp. 127-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7426 LNAI). https://doi.org/10.1007/978-3-642-33093-3_13
Ahn, Sejoon ; Kim, DaeEun. / A finite element method of electric image in weakly electric fish. From Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings. 2012. pp. 127-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Ahn, S & Kim, D 2012, A finite element method of electric image in weakly electric fish. in From Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7426 LNAI, pp. 127-135, 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Odense, Denmark, 12/8/27. https://doi.org/10.1007/978-3-642-33093-3_13

A finite element method of electric image in weakly electric fish. / Ahn, Sejoon; Kim, DaeEun.

From Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings. 2012. p. 127-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7426 LNAI).

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

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Ahn S, Kim D. A finite element method of electric image in weakly electric fish. In From Animals to Animats 12 - 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Proceedings. 2012. p. 127-135. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-33093-3_13