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Short-term synaptic plasticity in emerging devices for neuromorphic computing
Neuromorphic computing is a promising computing paradigm toward building next-generation artificial intelligence machines, in which diverse types of synaptic plasticity play an active role in information processing. Compared to long-term plasticity (LTP) forming the foundation of learning and memory...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025973/ https://www.ncbi.nlm.nih.gov/pubmed/36950108 http://dx.doi.org/10.1016/j.isci.2023.106315 |
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author | Li, Chao Zhang, Xumeng Chen, Pei Zhou, Keji Yu, Jie Wu, Guangjian Xiang, Du Jiang, Hao Wang, Ming Liu, Qi |
author_facet | Li, Chao Zhang, Xumeng Chen, Pei Zhou, Keji Yu, Jie Wu, Guangjian Xiang, Du Jiang, Hao Wang, Ming Liu, Qi |
author_sort | Li, Chao |
collection | PubMed |
description | Neuromorphic computing is a promising computing paradigm toward building next-generation artificial intelligence machines, in which diverse types of synaptic plasticity play an active role in information processing. Compared to long-term plasticity (LTP) forming the foundation of learning and memory, short-term plasticity (STP) is essential for critical computational functions. So far, the practical applications of LTP have been widely investigated, whereas the implementation of STP in hardware is still elusive. Here, we review the development of STP by bridging the physics in emerging devices and biological behaviors. We explore the computational functions of various STP in biology and review their recent progress. Finally, we discuss the main challenges of introducing STP into synaptic devices and offer the potential approaches to utilize STP to enrich systems’ capabilities. This review is expected to provide prospective ideas for implementing STP in emerging devices and may promote the construction of high-level neuromorphic machines. |
format | Online Article Text |
id | pubmed-10025973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100259732023-03-21 Short-term synaptic plasticity in emerging devices for neuromorphic computing Li, Chao Zhang, Xumeng Chen, Pei Zhou, Keji Yu, Jie Wu, Guangjian Xiang, Du Jiang, Hao Wang, Ming Liu, Qi iScience Perspective Neuromorphic computing is a promising computing paradigm toward building next-generation artificial intelligence machines, in which diverse types of synaptic plasticity play an active role in information processing. Compared to long-term plasticity (LTP) forming the foundation of learning and memory, short-term plasticity (STP) is essential for critical computational functions. So far, the practical applications of LTP have been widely investigated, whereas the implementation of STP in hardware is still elusive. Here, we review the development of STP by bridging the physics in emerging devices and biological behaviors. We explore the computational functions of various STP in biology and review their recent progress. Finally, we discuss the main challenges of introducing STP into synaptic devices and offer the potential approaches to utilize STP to enrich systems’ capabilities. This review is expected to provide prospective ideas for implementing STP in emerging devices and may promote the construction of high-level neuromorphic machines. Elsevier 2023-03-02 /pmc/articles/PMC10025973/ /pubmed/36950108 http://dx.doi.org/10.1016/j.isci.2023.106315 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Perspective Li, Chao Zhang, Xumeng Chen, Pei Zhou, Keji Yu, Jie Wu, Guangjian Xiang, Du Jiang, Hao Wang, Ming Liu, Qi Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title | Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title_full | Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title_fullStr | Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title_full_unstemmed | Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title_short | Short-term synaptic plasticity in emerging devices for neuromorphic computing |
title_sort | short-term synaptic plasticity in emerging devices for neuromorphic computing |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025973/ https://www.ncbi.nlm.nih.gov/pubmed/36950108 http://dx.doi.org/10.1016/j.isci.2023.106315 |
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