Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips
Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers in this field, the majority concentrate on th...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Association for the Advancement of Science (AAAS)
2024-01-01
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| Series: | Advanced Devices & Instrumentation |
| Online Access: | https://spj.science.org/doi/10.34133/adi.0044 |
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| _version_ | 1850138519878500352 |
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| author | Yike Xiao Cheng Gao Juncheng Jin Weiling Sun Bowen Wang Yukun Bao Chen Liu Wei Huang Hui Zeng Yefeng Yu |
| author_facet | Yike Xiao Cheng Gao Juncheng Jin Weiling Sun Bowen Wang Yukun Bao Chen Liu Wei Huang Hui Zeng Yefeng Yu |
| author_sort | Yike Xiao |
| collection | DOAJ |
| description | Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers in this field, the majority concentrate on the device level, bypassing the connections among the performance metrics of memristive devices and those of neuromorphic chips. In this review, we investigate the recent progress in neuromorphic computing from the fundamental memristive devices to the intricate neuromorphic chips, highlighting their links and challenges. |
| format | Article |
| id | doaj-art-c3dddb1b9d084aed9fdcb82e0aba3cf2 |
| institution | OA Journals |
| issn | 2767-9713 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Advanced Devices & Instrumentation |
| spelling | doaj-art-c3dddb1b9d084aed9fdcb82e0aba3cf22025-08-20T02:30:34ZengAmerican Association for the Advancement of Science (AAAS)Advanced Devices & Instrumentation2767-97132024-01-01510.34133/adi.0044Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic ChipsYike Xiao0Cheng Gao1Juncheng Jin2Weiling Sun3Bowen Wang4Yukun Bao5Chen Liu6Wei Huang7Hui Zeng8Yefeng Yu9School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.China Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences, Suzhou 215123, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.School of Microelectronics, Nanjing University of Science and Technology, Nanjing 210094, China.Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers in this field, the majority concentrate on the device level, bypassing the connections among the performance metrics of memristive devices and those of neuromorphic chips. In this review, we investigate the recent progress in neuromorphic computing from the fundamental memristive devices to the intricate neuromorphic chips, highlighting their links and challenges.https://spj.science.org/doi/10.34133/adi.0044 |
| spellingShingle | Yike Xiao Cheng Gao Juncheng Jin Weiling Sun Bowen Wang Yukun Bao Chen Liu Wei Huang Hui Zeng Yefeng Yu Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips Advanced Devices & Instrumentation |
| title | Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips |
| title_full | Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips |
| title_fullStr | Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips |
| title_full_unstemmed | Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips |
| title_short | Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips |
| title_sort | recent progress in neuromorphic computing from memristive devices to neuromorphic chips |
| url | https://spj.science.org/doi/10.34133/adi.0044 |
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