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Bioinspired bio-voltage memristors
Memristive devices are promising candidates to emulate biological computing. However, the typical switching voltages (0.2-2 V) in previously described devices are much higher than the amplitude in biological counterparts. Here we demonstrate a type of diffusive memristor, fabricated from the protein...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171104/ https://www.ncbi.nlm.nih.gov/pubmed/32313096 http://dx.doi.org/10.1038/s41467-020-15759-y |
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author | Fu, Tianda Liu, Xiaomeng Gao, Hongyan Ward, Joy E. Liu, Xiaorong Yin, Bing Wang, Zhongrui Zhuo, Ye Walker, David J. F. Joshua Yang, J. Chen, Jianhan Lovley, Derek R. Yao, Jun |
author_facet | Fu, Tianda Liu, Xiaomeng Gao, Hongyan Ward, Joy E. Liu, Xiaorong Yin, Bing Wang, Zhongrui Zhuo, Ye Walker, David J. F. Joshua Yang, J. Chen, Jianhan Lovley, Derek R. Yao, Jun |
author_sort | Fu, Tianda |
collection | PubMed |
description | Memristive devices are promising candidates to emulate biological computing. However, the typical switching voltages (0.2-2 V) in previously described devices are much higher than the amplitude in biological counterparts. Here we demonstrate a type of diffusive memristor, fabricated from the protein nanowires harvested from the bacterium Geobacter sulfurreducens, that functions at the biological voltages of 40-100 mV. Memristive function at biological voltages is possible because the protein nanowires catalyze metallization. Artificial neurons built from these memristors not only function at biological action potentials (e.g., 100 mV, 1 ms) but also exhibit temporal integration close to that in biological neurons. The potential of using the memristor to directly process biosensing signals is also demonstrated. |
format | Online Article Text |
id | pubmed-7171104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71711042020-04-23 Bioinspired bio-voltage memristors Fu, Tianda Liu, Xiaomeng Gao, Hongyan Ward, Joy E. Liu, Xiaorong Yin, Bing Wang, Zhongrui Zhuo, Ye Walker, David J. F. Joshua Yang, J. Chen, Jianhan Lovley, Derek R. Yao, Jun Nat Commun Article Memristive devices are promising candidates to emulate biological computing. However, the typical switching voltages (0.2-2 V) in previously described devices are much higher than the amplitude in biological counterparts. Here we demonstrate a type of diffusive memristor, fabricated from the protein nanowires harvested from the bacterium Geobacter sulfurreducens, that functions at the biological voltages of 40-100 mV. Memristive function at biological voltages is possible because the protein nanowires catalyze metallization. Artificial neurons built from these memristors not only function at biological action potentials (e.g., 100 mV, 1 ms) but also exhibit temporal integration close to that in biological neurons. The potential of using the memristor to directly process biosensing signals is also demonstrated. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7171104/ /pubmed/32313096 http://dx.doi.org/10.1038/s41467-020-15759-y Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fu, Tianda Liu, Xiaomeng Gao, Hongyan Ward, Joy E. Liu, Xiaorong Yin, Bing Wang, Zhongrui Zhuo, Ye Walker, David J. F. Joshua Yang, J. Chen, Jianhan Lovley, Derek R. Yao, Jun Bioinspired bio-voltage memristors |
title | Bioinspired bio-voltage memristors |
title_full | Bioinspired bio-voltage memristors |
title_fullStr | Bioinspired bio-voltage memristors |
title_full_unstemmed | Bioinspired bio-voltage memristors |
title_short | Bioinspired bio-voltage memristors |
title_sort | bioinspired bio-voltage memristors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171104/ https://www.ncbi.nlm.nih.gov/pubmed/32313096 http://dx.doi.org/10.1038/s41467-020-15759-y |
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