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Paper Abstract and Keywords
Presentation 2017-12-16 14:55
Neural coding of object's shape in electrolocation of weakly electic fish
Shun Okuno (UEC), Kazuhisa Fujita (NIT, Tsuyama College/UEC), Yoshiki Kashimori (UEC) NC2017-47
Abstract (in Japanese) (See Japanese page) 
(in English) Weakly electric fish generate an electric field around their fish body. An object nearby fish elicits a modulation of electric field. The fish can know object’s features such as lateral distance, size, and shape by analyzing the modulation in their brain. This behavior is called electrolocation. Although the neural system of the fish has been established experimentally, it is not yet clear how these object features are encoded by the neural system of the fish. In the present study, we focus on the neural encoding of object’s shape. We develop a model for calculating electric fields modulated by objects with different shapes, on the basis of the finite-element method. Using the model, we show that the difference in the shape of an equilateral triangle and a square object appears in the temporal variations of the maximum amplitude of electric images elicited by rotations of these objects. We also develop a neural model of electrosensory system that consists of the models of electroreceptors and hindbrain neurons. We show that shape information of these objects are encoded in to the slopes of the temporal courses of receptor firing, contrasted by hindbrain neurons.
Keyword (in Japanese) (See Japanese page) 
(in English) Electrolocation / Finite-element method / Objet's shape / Neural model / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 361, NC2017-47, pp. 41-46, Dec. 2017.
Paper # NC2017-47 
Date of Issue 2017-12-09 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MBE NC  
Conference Date 2017-12-16 - 2017-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To NC 
Conference Code 2017-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural coding of object's shape in electrolocation of weakly electic fish 
Sub Title (in English)  
Keyword(1) Electrolocation  
Keyword(2) Finite-element method  
Keyword(3) Objet's shape  
Keyword(4) Neural model  
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1st Author's Name Shun Okuno  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Kazuhisa Fujita  
2nd Author's Affiliation National Institute of Technology, Tsuyama College/The University of Electro-Communications (NIT, Tsuyama College/UEC)
3rd Author's Name Yoshiki Kashimori  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Date Time 2017-12-16 14:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2017-47 
Volume (vol) vol.117 
Number (no) no.361 
Page pp.41-46 
#Pages
Date of Issue 2017-12-09 (NC) 


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