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Gaussian synapses for probabilistic neural networks
The recent decline in energy, size and complexity scaling of traditional von Neumann architecture has resurrected considerable interest in brain-inspired computing. Artificial neural networks (ANNs) based on emerging devices, such as memristors, achieve brain-like computing but lack energy-efficienc...
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| Pubblicato in: | Nat Commun |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6744503/ https://ncbi.nlm.nih.gov/pubmed/31519885 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-12035-6 |
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