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Communication

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

1
Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan
2
Faculty of Information Science and Technology, Hokkaido University, Sapporo 060-0814, Japan
*
Author to whom correspondence should be addressed.
Polymers 2021, 13(2), 312; https://doi.org/10.3390/polym13020312
Received: 20 December 2020 / Revised: 17 January 2021 / Accepted: 17 January 2021 / Published: 19 January 2021
(This article belongs to the Special Issue Applications of Polymers in Energy and Environmental Sciences)
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. View Full-Text
Keywords: artificial synapse; conductive polymer wire; PEDOT:PSS; resistance change memory artificial synapse; conductive polymer wire; PEDOT:PSS; resistance change memory
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MDPI and ACS Style

Hagiwara, N.; Sekizaki, S.; Kuwahara, Y.; Asai, T.; Akai-Kasaya, M. Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses. Polymers 2021, 13, 312. https://doi.org/10.3390/polym13020312

AMA Style

Hagiwara N, Sekizaki S, Kuwahara Y, Asai T, Akai-Kasaya M. Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses. Polymers. 2021; 13(2):312. https://doi.org/10.3390/polym13020312

Chicago/Turabian Style

Hagiwara, Naruki; Sekizaki, Shoma; Kuwahara, Yuji; Asai, Tetsuya; Akai-Kasaya, Megumi. 2021. "Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses" Polymers 13, no. 2: 312. https://doi.org/10.3390/polym13020312

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