Presentation 2018-01-27
Visual information encoding by high-frequency spike population in mouse retinal ganglion cells
Hirotsugu Yamaguchi, Yuka Kudo, Koji Ishii, Yuki Hayashida, Tetsuya Yagi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is well known that visual information is continuously transformed into spike discharges in ganglion cells in the retinal circuits. However, little is known about the visual features encoded in the spike patterns and corresponding fundamental circuit structures of the retina. In order to elucidate the issue, previous studies have recorded and analyzed responses of retinal ganglion cells to randomly modulated illumination mainly from the statistical point of view. In this study, we designed an integrated circuit system that mimics the fundamental structure of retinal circuit and reproduced the ganglion cell responses to elucidate the dynamical properties of signal coding. We implemented the transient tOff-$alpha$ganglion cell circuit and simulated the spike responses evoked by randomly modulated illumination. The model exhibited spike responses including intermittent high frequency spike sequences similar to the physiologically recorded responses. Using the model, spike patterns were shown to be classified in terms of inter-spike intervals. The model designed in the present study is useful to efficient study the visual function and relevant fundamental circuit structures in the natural visual environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Retina / Ganglion Cell / Spike Coding / Hardware Simulation
Paper # NC2017-60
Date of Issue 2018-01-19 (NC)

Conference Information
Committee MBE / NC / NLP
Conference Date 2018/1/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyushu Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science,
Chair Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.)
Vice Chair Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.)
Secretary Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.)
Assistant Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visual information encoding by high-frequency spike population in mouse retinal ganglion cells
Sub Title (in English)
Keyword(1) Retina
Keyword(2) Ganglion Cell
Keyword(3) Spike Coding
Keyword(4) Hardware Simulation
1st Author's Name Hirotsugu Yamaguchi
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Yuka Kudo
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Koji Ishii
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Yuki Hayashida
4th Author's Affiliation Osaka University(Osaka Univ.)
5th Author's Name Tetsuya Yagi
5th Author's Affiliation Osaka University(Osaka Univ.)
Date 2018-01-27
Paper # NC2017-60
Volume (vol) vol.117
Number (no) NC-417
Page pp.pp.59-64(NC),
#Pages 6
Date of Issue 2018-01-19 (NC)