SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training
Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high biological plausibility. Although SNNs are currently more efficient than artificial neural networks (ANNs),...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Frontiers Media S.A.
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f6a5d3a0ea4e4e48a939a0bc137d6667 |
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