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On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices
Hardware-based spiking neural networks (SNNs) inspired by a biological nervous system are regarded as an innovative computing system with very low power consumption and massively parallel operation. To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpro...
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| Опубликовано в: : | Front Neurosci |
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| Главные авторы: | , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7358558/ https://ncbi.nlm.nih.gov/pubmed/32733180 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00423 |
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