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High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots

Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation. This work used a simple spin coating technique to fabricate polyimide (PI):graphene quan...

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Autores principales: Kou, Lijie, Ye, Nan, Waheed, Anjam, Auliya, Rahmat Zaki, Wu, Chaoxing, Ooi, Poh Choon, Li, Fushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199894/
https://www.ncbi.nlm.nih.gov/pubmed/37210533
http://dx.doi.org/10.1038/s41598-023-35183-8
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author Kou, Lijie
Ye, Nan
Waheed, Anjam
Auliya, Rahmat Zaki
Wu, Chaoxing
Ooi, Poh Choon
Li, Fushan
author_facet Kou, Lijie
Ye, Nan
Waheed, Anjam
Auliya, Rahmat Zaki
Wu, Chaoxing
Ooi, Poh Choon
Li, Fushan
author_sort Kou, Lijie
collection PubMed
description Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation. This work used a simple spin coating technique to fabricate polyimide (PI):graphene quantum dots(GQDs) memristor structure. As a result, the devices exhibit remarkably stable exponentially decaying postsynaptic suppression current over time, as interpreted in the spike-timing-dependent plasticity phenomenon. Furthermore, with the increase of the applied electrical signal over time, the conductance of the electrical synapse gradually changes, and the electronic synapse also shows plasticity dependence on the amplitude and frequency of the pulse applied. In particular, the devices with the structure of Ag/PI:GQDs/ITO prepared in this study can produce a stable response to the stimulation of electrical signals between millivolt to volt, showing not only high sensitivity but also a wide range of “feelings”, which makes the electronic synapses take a step forwards to emulate biological synapses. Meanwhile, the electronic conduction mechanisms of the device are also studied and expounded in detail. The findings in this work lay a foundation for developing brain-like neuromorphic modeling in artificial intelligence.
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spelling pubmed-101998942023-05-22 High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots Kou, Lijie Ye, Nan Waheed, Anjam Auliya, Rahmat Zaki Wu, Chaoxing Ooi, Poh Choon Li, Fushan Sci Rep Article Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation. This work used a simple spin coating technique to fabricate polyimide (PI):graphene quantum dots(GQDs) memristor structure. As a result, the devices exhibit remarkably stable exponentially decaying postsynaptic suppression current over time, as interpreted in the spike-timing-dependent plasticity phenomenon. Furthermore, with the increase of the applied electrical signal over time, the conductance of the electrical synapse gradually changes, and the electronic synapse also shows plasticity dependence on the amplitude and frequency of the pulse applied. In particular, the devices with the structure of Ag/PI:GQDs/ITO prepared in this study can produce a stable response to the stimulation of electrical signals between millivolt to volt, showing not only high sensitivity but also a wide range of “feelings”, which makes the electronic synapses take a step forwards to emulate biological synapses. Meanwhile, the electronic conduction mechanisms of the device are also studied and expounded in detail. The findings in this work lay a foundation for developing brain-like neuromorphic modeling in artificial intelligence. Nature Publishing Group UK 2023-05-20 /pmc/articles/PMC10199894/ /pubmed/37210533 http://dx.doi.org/10.1038/s41598-023-35183-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kou, Lijie
Ye, Nan
Waheed, Anjam
Auliya, Rahmat Zaki
Wu, Chaoxing
Ooi, Poh Choon
Li, Fushan
High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title_full High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title_fullStr High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title_full_unstemmed High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title_short High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
title_sort high sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199894/
https://www.ncbi.nlm.nih.gov/pubmed/37210533
http://dx.doi.org/10.1038/s41598-023-35183-8
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