Presentation 2020-12-18
A Study on Recall of Temporal Pattern Using Hopfield Network with Pulse-type Hardware Neuron Model
Yoshiki Sasaki, Katsutoshi Saeki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Previously, we proposed a pulse-type hardware chaotic neuron model.In this paper, we report on a pulsed neural network that can recall time-series patterns by constructing hopfield network using a pulse-type hardware chaotic neuron model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Pulse-type hardware neuron model / Λ-Shaped Negative Resistance Device / Neural Network
Paper # NC2020-29
Date of Issue 2020-12-11 (NC)

Conference Information
Committee MBE / NC
Conference Date 2020/12/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takashi Watanabe(Tohoku Univ.) / Kazuyuki Samejima(Tamagawa Univ)
Vice Chair Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.)
Secretary Ryuhei Okuno(Akita-noken) / Rieko Osu(NTT)
Assistant Akihiro Karashima(Tohoku Inst. of Tech.) / Jun Akazawa(Meiji Univ. of Integrative Medicine) / Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho 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) A Study on Recall of Temporal Pattern Using Hopfield Network with Pulse-type Hardware Neuron Model
Sub Title (in English)
Keyword(1) Pulse-type hardware neuron model
Keyword(2) Λ-Shaped Negative Resistance Device
Keyword(3) Neural Network
1st Author's Name Yoshiki Sasaki
1st Author's Affiliation Nihon University(Nihon Univ.)
2nd Author's Name Katsutoshi Saeki
2nd Author's Affiliation Nihon University(Nihon Univ.)
Date 2020-12-18
Paper # NC2020-29
Volume (vol) vol.120
Number (no) NC-302
Page pp.pp.7-12(NC),
#Pages 6
Date of Issue 2020-12-11 (NC)