Advances in Memristor-Based Neural Networks
The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve massive data calculation with low power consumption and small chip area. This paper provides an ov...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Nanotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnano.2021.645995/full |
| _version_ | 1818560764911288320 |
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| author | Weilin Xu Weilin Xu Weilin Xu Jingjuan Wang Xiaobing Yan Xiaobing Yan |
| author_facet | Weilin Xu Weilin Xu Weilin Xu Jingjuan Wang Xiaobing Yan Xiaobing Yan |
| author_sort | Weilin Xu |
| collection | DOAJ |
| description | The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve massive data calculation with low power consumption and small chip area. This paper provides an overview of memristor device characteristics, models, synapse circuits, and neural network applications, especially for artificial neural networks and spiking neural networks. It also provides research summaries, comparisons, limitations, challenges, and future work opportunities. |
| first_indexed | 2024-12-14T00:42:27Z |
| format | Article |
| id | doaj.art-86e877871fad4ea487be6438704d673d |
| institution | Directory Open Access Journal |
| issn | 2673-3013 |
| language | English |
| last_indexed | 2024-12-14T00:42:27Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nanotechnology |
| spelling | doaj.art-86e877871fad4ea487be6438704d673d2022-12-21T23:24:17ZengFrontiers Media S.A.Frontiers in Nanotechnology2673-30132021-03-01310.3389/fnano.2021.645995645995Advances in Memristor-Based Neural NetworksWeilin Xu0Weilin Xu1Weilin Xu2Jingjuan Wang3Xiaobing Yan4Xiaobing Yan5Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding, ChinaGuangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin, ChinaElectrical and Computer Engineering Department, Southern Illinois University Carbondale, Carbondale, IL, United StatesKey Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding, ChinaKey Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding, ChinaDepartment of Materials Science and Engineering, National University of Singapore, Singapore, SingaporeThe rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve massive data calculation with low power consumption and small chip area. This paper provides an overview of memristor device characteristics, models, synapse circuits, and neural network applications, especially for artificial neural networks and spiking neural networks. It also provides research summaries, comparisons, limitations, challenges, and future work opportunities.https://www.frontiersin.org/articles/10.3389/fnano.2021.645995/fullmemristorintegrated circuitartificial neural networkspiking neural networkartificial intelligence |
| spellingShingle | Weilin Xu Weilin Xu Weilin Xu Jingjuan Wang Xiaobing Yan Xiaobing Yan Advances in Memristor-Based Neural Networks Frontiers in Nanotechnology memristor integrated circuit artificial neural network spiking neural network artificial intelligence |
| title | Advances in Memristor-Based Neural Networks |
| title_full | Advances in Memristor-Based Neural Networks |
| title_fullStr | Advances in Memristor-Based Neural Networks |
| title_full_unstemmed | Advances in Memristor-Based Neural Networks |
| title_short | Advances in Memristor-Based Neural Networks |
| title_sort | advances in memristor based neural networks |
| topic | memristor integrated circuit artificial neural network spiking neural network artificial intelligence |
| url | https://www.frontiersin.org/articles/10.3389/fnano.2021.645995/full |
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