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Recent Advances on Neuromorphic Systems Using Phase-Change Materials
Realization of brain-like computer has always been human’s ultimate dream. Today, the possibility of having this dream come true has been significantly boosted due to the advent of several emerging non-volatile memory devices. Within these innovative technologies, phase-change memory device has been...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5425657/ https://www.ncbi.nlm.nih.gov/pubmed/28499334 http://dx.doi.org/10.1186/s11671-017-2114-9 |
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author | Wang, Lei Lu, Shu-Ren Wen, Jing |
author_facet | Wang, Lei Lu, Shu-Ren Wen, Jing |
author_sort | Wang, Lei |
collection | PubMed |
description | Realization of brain-like computer has always been human’s ultimate dream. Today, the possibility of having this dream come true has been significantly boosted due to the advent of several emerging non-volatile memory devices. Within these innovative technologies, phase-change memory device has been commonly regarded as the most promising candidate to imitate the biological brain, owing to its excellent scalability, fast switching speed, and low energy consumption. In this context, a detailed review concerning the physical principles of the neuromorphic circuit using phase-change materials as well as a comprehensive introduction of the currently available phase-change neuromorphic prototypes becomes imperative for scientists to continuously progress the technology of artificial neural networks. In this paper, we first present the biological mechanism of human brain, followed by a brief discussion about physical properties of phase-change materials that recently receive a widespread application on non-volatile memory field. We then survey recent research on different types of neuromorphic circuits using phase-change materials in terms of their respective geometrical architecture and physical schemes to reproduce the biological events of human brain, in particular for spike-time-dependent plasticity. The relevant virtues and limitations of these devices are also evaluated. Finally, the future prospect of the neuromorphic circuit based on phase-change technologies is envisioned. |
format | Online Article Text |
id | pubmed-5425657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-54256572017-05-18 Recent Advances on Neuromorphic Systems Using Phase-Change Materials Wang, Lei Lu, Shu-Ren Wen, Jing Nanoscale Res Lett Nano Review Realization of brain-like computer has always been human’s ultimate dream. Today, the possibility of having this dream come true has been significantly boosted due to the advent of several emerging non-volatile memory devices. Within these innovative technologies, phase-change memory device has been commonly regarded as the most promising candidate to imitate the biological brain, owing to its excellent scalability, fast switching speed, and low energy consumption. In this context, a detailed review concerning the physical principles of the neuromorphic circuit using phase-change materials as well as a comprehensive introduction of the currently available phase-change neuromorphic prototypes becomes imperative for scientists to continuously progress the technology of artificial neural networks. In this paper, we first present the biological mechanism of human brain, followed by a brief discussion about physical properties of phase-change materials that recently receive a widespread application on non-volatile memory field. We then survey recent research on different types of neuromorphic circuits using phase-change materials in terms of their respective geometrical architecture and physical schemes to reproduce the biological events of human brain, in particular for spike-time-dependent plasticity. The relevant virtues and limitations of these devices are also evaluated. Finally, the future prospect of the neuromorphic circuit based on phase-change technologies is envisioned. Springer US 2017-05-11 /pmc/articles/PMC5425657/ /pubmed/28499334 http://dx.doi.org/10.1186/s11671-017-2114-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Nano Review Wang, Lei Lu, Shu-Ren Wen, Jing Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title | Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title_full | Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title_fullStr | Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title_full_unstemmed | Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title_short | Recent Advances on Neuromorphic Systems Using Phase-Change Materials |
title_sort | recent advances on neuromorphic systems using phase-change materials |
topic | Nano Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5425657/ https://www.ncbi.nlm.nih.gov/pubmed/28499334 http://dx.doi.org/10.1186/s11671-017-2114-9 |
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