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An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing
Artificial synapses, with synaptic plasticity, are the key components of constructing the neuromorphic computing system and mimicking the bio-synaptic function. Traditional synaptic devices are based on silicon and inorganic materials, while organic electronics can open up new opportunities for flex...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187857/ https://www.ncbi.nlm.nih.gov/pubmed/30424171 http://dx.doi.org/10.3390/mi9050239 |
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author | Wang, Tian-Yu He, Zhen-Yu Chen, Lin Zhu, Hao Sun, Qing-Qing Ding, Shi-Jin Zhou, Peng Zhang, David Wei |
author_facet | Wang, Tian-Yu He, Zhen-Yu Chen, Lin Zhu, Hao Sun, Qing-Qing Ding, Shi-Jin Zhou, Peng Zhang, David Wei |
author_sort | Wang, Tian-Yu |
collection | PubMed |
description | Artificial synapses, with synaptic plasticity, are the key components of constructing the neuromorphic computing system and mimicking the bio-synaptic function. Traditional synaptic devices are based on silicon and inorganic materials, while organic electronics can open up new opportunities for flexible devices. Here, a flexible artificial synaptic device with an organic functional layer was proposed. The organic device showed good switching behaviors such as ON/OFF ratio over 100 at low operation voltages. The set and reset voltages were lower than 0.5 V and −0.25 V, respectively. The long-term plasticity, spike-timing-dependent plasticity learning rules (STDP), and forgetting function were emulated using the device. The retention times of the excitatory and inhibitory post-synaptic currents were both longer than 60 s. The long-term plasticity was repeatable without noticeable degradation after the application of five voltage pulse cycles to the top electrode. These results indicate that our organic flexible device has the potential to be applied in bio-inspired neuromorphic systems. |
format | Online Article Text |
id | pubmed-6187857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61878572018-11-01 An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing Wang, Tian-Yu He, Zhen-Yu Chen, Lin Zhu, Hao Sun, Qing-Qing Ding, Shi-Jin Zhou, Peng Zhang, David Wei Micromachines (Basel) Article Artificial synapses, with synaptic plasticity, are the key components of constructing the neuromorphic computing system and mimicking the bio-synaptic function. Traditional synaptic devices are based on silicon and inorganic materials, while organic electronics can open up new opportunities for flexible devices. Here, a flexible artificial synaptic device with an organic functional layer was proposed. The organic device showed good switching behaviors such as ON/OFF ratio over 100 at low operation voltages. The set and reset voltages were lower than 0.5 V and −0.25 V, respectively. The long-term plasticity, spike-timing-dependent plasticity learning rules (STDP), and forgetting function were emulated using the device. The retention times of the excitatory and inhibitory post-synaptic currents were both longer than 60 s. The long-term plasticity was repeatable without noticeable degradation after the application of five voltage pulse cycles to the top electrode. These results indicate that our organic flexible device has the potential to be applied in bio-inspired neuromorphic systems. MDPI 2018-05-15 /pmc/articles/PMC6187857/ /pubmed/30424171 http://dx.doi.org/10.3390/mi9050239 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Tian-Yu He, Zhen-Yu Chen, Lin Zhu, Hao Sun, Qing-Qing Ding, Shi-Jin Zhou, Peng Zhang, David Wei An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title | An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title_full | An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title_fullStr | An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title_full_unstemmed | An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title_short | An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing |
title_sort | organic flexible artificial bio-synapses with long-term plasticity for neuromorphic computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187857/ https://www.ncbi.nlm.nih.gov/pubmed/30424171 http://dx.doi.org/10.3390/mi9050239 |
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