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- Publisher Website: 10.1002/adma.201902761
- Scopus: eid_2-s2.0-85074017570
- PMID: 31550405
- WOS: WOS:000488035400001
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Article: Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
Title | Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges |
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Authors | |
Keywords | artificial neural systems biological neural systems brain-inspired computing memristors neural networks neuromorphic devices |
Issue Date | 2019 |
Citation | Advanced Materials, 2019, v. 31, n. 49, article no. 1902761 How to Cite? |
Abstract | © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim As the research on artificial intelligence booms, there is broad interest in brain-inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re-visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the existing challenges are highlighted to hopefully shed light on future research directions. |
Persistent Identifier | http://hdl.handle.net/10722/287003 |
ISSN | 2023 Impact Factor: 27.4 2023 SCImago Journal Rankings: 9.191 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Tang, Jianshi | - |
dc.contributor.author | Yuan, Fang | - |
dc.contributor.author | Shen, Xinke | - |
dc.contributor.author | Wang, Zhongrui | - |
dc.contributor.author | Rao, Mingyi | - |
dc.contributor.author | He, Yuanyuan | - |
dc.contributor.author | Sun, Yuhao | - |
dc.contributor.author | Li, Xinyi | - |
dc.contributor.author | Zhang, Wenbin | - |
dc.contributor.author | Li, Yijun | - |
dc.contributor.author | Gao, Bin | - |
dc.contributor.author | Qian, He | - |
dc.contributor.author | Bi, Guoqiang | - |
dc.contributor.author | Song, Sen | - |
dc.contributor.author | Yang, J. Joshua | - |
dc.contributor.author | Wu, Huaqiang | - |
dc.date.accessioned | 2020-09-07T11:46:14Z | - |
dc.date.available | 2020-09-07T11:46:14Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Advanced Materials, 2019, v. 31, n. 49, article no. 1902761 | - |
dc.identifier.issn | 0935-9648 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287003 | - |
dc.description.abstract | © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim As the research on artificial intelligence booms, there is broad interest in brain-inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re-visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the existing challenges are highlighted to hopefully shed light on future research directions. | - |
dc.language | eng | - |
dc.relation.ispartof | Advanced Materials | - |
dc.subject | artificial neural systems | - |
dc.subject | biological neural systems | - |
dc.subject | brain-inspired computing | - |
dc.subject | memristors | - |
dc.subject | neural networks | - |
dc.subject | neuromorphic devices | - |
dc.title | Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/adma.201902761 | - |
dc.identifier.pmid | 31550405 | - |
dc.identifier.scopus | eid_2-s2.0-85074017570 | - |
dc.identifier.volume | 31 | - |
dc.identifier.issue | 49 | - |
dc.identifier.spage | article no. 1902761 | - |
dc.identifier.epage | article no. 1902761 | - |
dc.identifier.eissn | 1521-4095 | - |
dc.identifier.isi | WOS:000488035400001 | - |
dc.identifier.issnl | 0935-9648 | - |