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Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors
Metal-oxide memristors have emerged as promising candidates for hardware implementation of artificial synapses – the key components of high-performance, analog neuromorphic networks - due to their excellent scaling prospects. Since some advanced cognitive tasks require spiking neuromorphic networks,...
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| Publié dans: | Sci Rep |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4759564/ https://ncbi.nlm.nih.gov/pubmed/26893175 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep21331 |
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