Presentation 2020-05-15
FitzHugh-Nagumo equation can describe the temporal frequency response in the human vision system
Atsushi Osa, Masaru Suzuki, Koki Otaka, Hidetoshi Miike,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In human vision, the perception of flicker stimuli depends upon the frequency of the flicker. Moreover, when our vision observes moving objects, they are observed as being blurred or being sharpened. Such phenomena have been explained by a model that describes impulse responses derived from the temporal frequency response function of vision. However, this model cannot explain certain characteristics of these phenomena. This study shows that the FitzHugh-Nagumo equation can describe the temporal frequency response with these characteristics of vision, such that the response curves depend on the mean magnitude of input stimuli. Therefore, the FitzHugh-Nagumo equation can be used as a prototype to construct precise models for describing the time responses in vision.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Vision perception / Contrast sensitivity function / Linearization / Numerical analysis
Paper # NLP2020-1
Date of Issue 2020-05-08 (NLP)

Conference Information
Committee NLP
Conference Date 2020/5/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Yamaguchi University (Tokiwa campus)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroaki Kurokawa(Tokyo Univ. of Tech.)
Vice Chair Kiyohisa Natsume(Kyushu Inst. of Tech.)
Secretary Kiyohisa Natsume(Nippon Inst. of Tech.)
Assistant Yutaka Shimada(Saitama Univ.) / Toshikaza Samura(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) FitzHugh-Nagumo equation can describe the temporal frequency response in the human vision system
Sub Title (in English)
Keyword(1) Vision perception
Keyword(2) Contrast sensitivity function
Keyword(3) Linearization
Keyword(4) Numerical analysis
1st Author's Name Atsushi Osa
1st Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
2nd Author's Name Masaru Suzuki
2nd Author's Affiliation BraCare Genetics Co., Ltd.(BraCare Genetics)
3rd Author's Name Koki Otaka
3rd Author's Affiliation National Institute of Technology, Hiroshima College(KOSEN, Hiroshima Col.)
4th Author's Name Hidetoshi Miike
4th Author's Affiliation Yamaguchi Gakugei Univerisity.(Yamaguchi Gakugei Univ.)
Date 2020-05-15
Paper # NLP2020-1
Volume (vol) vol.120
Number (no) NLP-26
Page pp.pp.1-5(NLP),
#Pages 5
Date of Issue 2020-05-08 (NLP)