Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineering and circuit integration. Here we monolithically integrate hafnium oxide-based memristors wit...
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Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
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TN_cdi_doaj_primary_oai_doaj_org_article_b4e8c66198ed41eea8aa429291ec599c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b4e8c66198ed41eea8aa429291ec599c
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-018-04484-2
