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In situ unsupervised learning using stochastic switching in magneto-electric magnetic tunnel junctions
Spiking neural networks (SNNs) offer a bio-plausible and potentially power-efficient alternative to conventional deep learning. Although there has been progress towards implementing SNN functionalities in custom CMOS-based hardware using beyond Von Neumann architectures, the power-efficiency of the...
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| Publicat a: | Philos Trans A Math Phys Eng Sci |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Royal Society Publishing
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6939242/ https://ncbi.nlm.nih.gov/pubmed/31865881 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2019.0157 |
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