dc.contributor.author | Sun, Yichuang | |
dc.contributor.author | Kvatinsky, Shahar | |
dc.contributor.author | Sirakoulis, Georgios | |
dc.contributor.author | Sun, Jingru | |
dc.contributor.author | Ascoli, Alon | |
dc.date.accessioned | 2024-11-22T16:15:01Z | |
dc.date.available | 2024-11-22T16:15:01Z | |
dc.date.issued | 2024-11-13 | |
dc.identifier.citation | Sun , Y , Kvatinsky , S , Sirakoulis , G , Sun , J & Ascoli , A 2024 , ' Guest Editorial: Memristive electronic circuits, neural networks and neuromorphic computing ' , Electronics Letters , vol. 60 , no. 22 , e70092 , pp. 1-3 . https://doi.org/10.1049/ell2.70092 | |
dc.identifier.issn | 0013-5194 | |
dc.identifier.other | Jisc: 2418460 | |
dc.identifier.other | publisher-id: ell270092 | |
dc.identifier.uri | http://hdl.handle.net/2299/28476 | |
dc.description | © 2024 The Author(s). Electronics Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.description.abstract | The theoretical concept of memristor was first proposed as the fourth basic circuit element by Chua in 1971. It defines the relationship between electric charge and magnetic flux. The first physical implementation of memristor was realised by HP Labs in 2008. It was fabricated in advanced nano technology. Intensive research has since been conducted on the development of memristors across the whole world and wide applications of memristors have also been explored. Since they are smaller nano device, consume less power, and have both memory and processing functions, memristors have been widely recognised to be the future of electronics, computing and AI. For example, they will play a key role in emerging edge computing and brain-like computing. The aim of the Special Issue is to follow the state of the arts of memristor-based circuits and systems, with particular focus on memristive electronic circuits, neural networks and neuromorphic computing, publish original technical papers reflecting the most recent research and application results, and identify new challenges and ways forward for future research and applications in this emerging fast-growing field. | en |
dc.format.extent | 3 | |
dc.format.extent | 341672 | |
dc.language.iso | eng | |
dc.relation.ispartof | Electronics Letters | |
dc.title | Guest Editorial: Memristive electronic circuits, neural networks and neuromorphic computing | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1049/ell2.70092 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |