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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
In an increasingly data-rich world the need for developing computing systems that cannot only process, but ideally also interpret big data is becoming continuously more pressing. Brain-inspired concepts have shown great promise towards addressing this need. Here we demonstrate unsupervised learning...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056401/ https://www.ncbi.nlm.nih.gov/pubmed/27681181 http://dx.doi.org/10.1038/ncomms12611 |