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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4364709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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