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Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses

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Title: Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses
Authors: Hagiwara, Naruki Browse this author
Sekizaki, Shoma Browse this author
Kuwahara, Yuji Browse this author
Asai, Tetsuya Browse this author →KAKEN DB
Akai-Kasaya, Megumi Browse this author →KAKEN DB
Keywords: artificial synapse
conductive polymer wire
PEDOT
PSS
resistance change memory
Issue Date: Jan-2021
Publisher: MDPI
Journal Title: Polymers
Volume: 13
Issue: 2
Start Page: 312
Publisher DOI: 10.3390/polym13020312
Abstract: Networks in the human brain are extremely complex and sophisticated. The abstract model of the human brain has been used in software development, specifically in artificial intelligence. Despite the remarkable outcomes achieved using artificial intelligence, the approach consumes a huge amount of computational resources. A possible solution to this issue is the development of processing circuits that physically resemble an artificial brain, which can offer low-energy loss and high-speed processing. This study demonstrated the synaptic functions of conductive polymer wires linking arbitrary electrodes in solution. By controlling the conductance of the wires, synaptic functions such as long-term potentiation and short-term plasticity were achieved, which are similar to the manner in which a synapse changes the strength of its connections. This novel organic artificial synapse can be used to construct information-processing circuits by wiring from scratch and learning efficiently in response to external stimuli.
Rights: https://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/80554
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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