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A Memristor SPICE Model Accounting for Synaptic Activity Dependence

In this work, we propose a new memristor SPICE model that accounts for the typical synaptic characteristics that have been previously demonstrated with practical memristive devices. We show that this model could account for both volatile and non-volatile memristance changes under distinct stimuli. W...

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Detalles Bibliográficos
Autores principales: Li, Qingjiang, Serb, Alexander, Prodromakis, Themistoklis, Xu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364709/
https://www.ncbi.nlm.nih.gov/pubmed/25785597
http://dx.doi.org/10.1371/journal.pone.0120506
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author Li, Qingjiang
Serb, Alexander
Prodromakis, Themistoklis
Xu, Hui
author_facet Li, Qingjiang
Serb, Alexander
Prodromakis, Themistoklis
Xu, Hui
author_sort Li, Qingjiang
collection PubMed
description In this work, we propose a new memristor SPICE model that accounts for the typical synaptic characteristics that have been previously demonstrated with practical memristive devices. We show that this model could account for both volatile and non-volatile memristance changes under distinct stimuli. We then demonstrate that our model is capable of supporting typical STDP with simple non-overlapping digital pulse pairs. Finally, we investigate the capability of our model to simulate the activity dependence dynamics of synaptic modification and present simulated results that are in excellent agreement with biological results.
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spelling pubmed-43647092015-03-23 A Memristor SPICE Model Accounting for Synaptic Activity Dependence Li, Qingjiang Serb, Alexander Prodromakis, Themistoklis Xu, Hui PLoS One Research Article In this work, we propose a new memristor SPICE model that accounts for the typical synaptic characteristics that have been previously demonstrated with practical memristive devices. We show that this model could account for both volatile and non-volatile memristance changes under distinct stimuli. We then demonstrate that our model is capable of supporting typical STDP with simple non-overlapping digital pulse pairs. Finally, we investigate the capability of our model to simulate the activity dependence dynamics of synaptic modification and present simulated results that are in excellent agreement with biological results. Public Library of Science 2015-03-18 /pmc/articles/PMC4364709/ /pubmed/25785597 http://dx.doi.org/10.1371/journal.pone.0120506 Text en © 2015 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Qingjiang
Serb, Alexander
Prodromakis, Themistoklis
Xu, Hui
A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title_full A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title_fullStr A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title_full_unstemmed A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title_short A Memristor SPICE Model Accounting for Synaptic Activity Dependence
title_sort memristor spice model accounting for synaptic activity dependence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364709/
https://www.ncbi.nlm.nih.gov/pubmed/25785597
http://dx.doi.org/10.1371/journal.pone.0120506
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