Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
| Publié dans: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 27(2015), 47 vom: 16. Dez., Seite 7720-7 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2015
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| Accès à la collection: | Advanced materials (Deerfield Beach, Fla.) |
| Sujets: | Journal Article Monte Carlo simulations heterosynaptic plasticity memristive switching neuromorphic computing physically evolving networks |
| Résumé: | © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. A nanoscale, solid-state physically evolving network is experimentally demonstrated, based on the self-organization of Ag nanoclusters under an electric field. The adaptive nature of the network is determined by the collective inputs from multiple terminals and allows the emulation of heterosynaptic plasticity, an important learning rule in biological systems. These effects are universally observed in devices based on different switching materials |
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| Description: | Date Completed 10.05.2016 Date Revised 01.10.2020 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
| ISSN: | 1521-4095 |
| DOI: | 10.1002/adma.201503202 |