Presentation 2017-12-16
Neural coding of object's shape in electrolocation of weakly electic fish
Shun Okuno, Kazuhisa Fujita, Yoshiki Kashimori,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Electrolocation / Finite-element method / Objet's shape / Neural model
Paper # NC2017-47
Date of Issue 2017-12-09 (NC)

Conference Information
Committee MBE / NC
Conference Date 2017/12/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Nagoya University
Topics (in Japanese) (See Japanese page)
Topics (in English) ME, general
Chair Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.)
Vice Chair Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.)
Secretary Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.)
Assistant Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
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
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)
Date 2017-12-16
Paper # NC2017-47
Volume (vol) vol.117
Number (no) NC-361
Page pp.pp.41-46(NC),
#Pages 6
Date of Issue 2017-12-09 (NC)