Presentation 2021-03-29
Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks
Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai, Megumi Akai-Kasaya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electronics field, including the implementation of neuromorphicdevices used in Hardware Neural Networks in a 2D space thatallow connections in 2 degrees of freedom, but if the humanbrain 3-dimensional structure is to be replicated, an additionaldegree of freedom is needed. In order to get closer to a functioning 3D device, first the 2D version of it needs to be studied properly. To facilitate this, we have developed a simulation software that emulates these devices in order to studythe behavior of the wire growth and the dynamics of hardware networks. In this study, the experimental and softwaresimulation behavior and results are compared (electrodes design, the growth methodology, growth control) and discussedin detail and the pros and cons of the simulation platform areevaluated. In addition, a first attempt at creating a 3D neuromorphic device using this method, along with planned improvements, the problems that have surged and might surgein the future (such as wire crossing or how to move into hardware instead of wetware, among others)and their corresponding tentative solutions are shown and discussed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neuromorphic DevicesMachine LearningCellular AutomatonMolecular SynapsesElectropolymerizationNeural Networks
Paper # CCS2020-22
Date of Issue 2021-03-22 (CCS)

Conference Information
Committee CCS
Conference Date 2021/3/29(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
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Topics (in English) etc.
Chair Shigeki Shiokawa(Kanagawa Inst. of Tech.)
Vice Chair Tetsuya Asai(Hokkaido Univ.) / Megumi Akai(Hokkaido Univ.)
Secretary Tetsuya Asai(Kanagawa Inst. of Tech.) / Megumi Akai(TDK)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) / Kosuke Sanada(Mie Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks
Sub Title (in English)
Keyword(1) Neuromorphic DevicesMachine LearningCellular AutomatonMolecular SynapsesElectropolymerizationNeural Networks
1st Author's Name Emiliano Ali
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Yoshiki Amemiya
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Tetsuya Asai
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
4th Author's Name Megumi Akai-Kasaya
4th Author's Affiliation Osaka University(Osaka Univ.)
Date 2021-03-29
Paper # CCS2020-22
Volume (vol) vol.120
Number (no) CCS-438
Page pp.pp.7-12(CCS),
#Pages 6
Date of Issue 2021-03-22 (CCS)