Presentation 2021-01-21
Reconstruction of Input Signal Using Common Interspike Interval Time Series
Ei Miura, Tohru Ikeguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is not easy to observe the input signals of neurons compared to the output signals of neurons. For this reason, several methods have been proposed to reconstruct the input signals of neurons using only the output signal of the corresponding neurons. In this paper, we propose a method for reconstructing common input signals of neurons using recurrence plots, a nonlinear time series analysis method, using inter spike interval time series observed from output spike trains from multiple neurons. We use the leaky integrated-and-fire model as the mathematical neuron model to evaluate the performance of the proposed method. As a result, we show that the proposed method using inter spike interval time series is effective to reconstruct the common input signals of multiple neurons.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Leaky Integrated-and-Fire model / Reccurence plot / Neuron
Paper # NLP2020-40
Date of Issue 2021-01-14 (NLP)

Conference Information
Committee NC / NLP
Conference Date 2021/1/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) NC,NLP
Chair Kazuyuki Samejima(Tamagawa Univ) / Kiyohisa Natsume(Kyushu Inst. of Tech.)
Vice Chair Rieko Osu(Waseda Univ.) / Takuji Kosaka(Chukyo Univ.)
Secretary Rieko Osu(NTT) / Takuji Kosaka(ATR)
Assistant Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.)

Paper Information
Registration To 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) Reconstruction of Input Signal Using Common Interspike Interval Time Series
Sub Title (in English)
Keyword(1) Leaky Integrated-and-Fire model
Keyword(2) Reccurence plot
Keyword(3) Neuron
1st Author's Name Ei Miura
1st Author's Affiliation Tokyo University of Schience(TUS)
2nd Author's Name Tohru Ikeguchi
2nd Author's Affiliation Tokyo University of Schience(TUS)
Date 2021-01-21
Paper # NLP2020-40
Volume (vol) vol.120
Number (no) NLP-330
Page pp.pp.1-6(NLP),
#Pages 6
Date of Issue 2021-01-14 (NLP)