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Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
Spiking Neural Networks (SNNs) offer great potential to promote both the performance and efficiency of real-world computing systems, considering the biological plausibility of SNNs. The emerging analog Resistive Random Access Memory (RRAM) devices have drawn increasing interest as potential neuromor...
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| Publicado no: | Front Neurosci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6691091/ https://ncbi.nlm.nih.gov/pubmed/31447634 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00812 |
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