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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PDF Download Page | PDF download Page Link |
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 |
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Conference Date | 2021/3/29(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
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 |
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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) |