Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphi...
Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphic computing
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Wang, Di , Tang, Ruifeng , Lin, Huai , Liu, Long , Xu, Nuo , Sun, Yan , Zhao, Xuefeng , Wang, Ziwei , Wang, Dandan , Mai, Zhihong , Zhou, Yongjian , Gao, Nan , Song, Cheng , Zhu, Lijun , Wu, Tom , Liu, Ming and Xing, Guozhong
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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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Neuromorphic computing using nonvolatile memories is expected to tackle the memory wall and energy efficiency bottleneck in the von Neumann system and to mitigate the stagnation of Moore’s law. However, an ideal artificial neuron possessing bio-inspired behaviors as exemplified by the requisite leaky-integrate-fire and self-reset (LIFT) functionali...
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Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphic computing
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TN_cdi_doaj_primary_oai_doaj_org_article_80df9b00f9bc400d9838185a7c7c6e3f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_80df9b00f9bc400d9838185a7c7c6e3f
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-023-36728-1