[HTML] frontiersin.org

[HTML][HTML] SSTDP: Supervised spike timing dependent plasticity for efficient spiking neural network training

F Liu, W Zhao, Y Chen, Z Wang, T Yang… - Frontiers in …, 2021 - frontiersin.org
Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power
event-driven neuromorphic hardware due to their spatio-temporal information processing …
被引用次数：42 相关文章

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training.

F Liu, W Zhao, Y Chen, Z Wang… - Frontiers in …, 2021 - search.ebscohost.com
Abstract Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-
power event-driven neuromorphic hardware due to their spatio-temporal information …

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

F Liu, W Zhao, Y Chen, Z Wang… - Frontiers in …, 2021 - pubmed.ncbi.nlm.nih.gov
Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power
event-driven neuromorphic hardware due to their spatio-temporal information processing …
[HTML] nih.gov

[HTML][HTML] SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

F Liu, W Zhao, Y Chen, Z Wang, T Yang… - Frontiers in …, 2021 - ncbi.nlm.nih.gov
Abstract Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-
power event-driven neuromorphic hardware due to their spatio-temporal information …

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training.

F Liu, W Zhao, Y Chen, Z Wang, T Yang… - Frontiers in …, 2021 - europepmc.org
Abstract Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-
power event-driven neuromorphic hardware due to their spatio-temporal information …