Training spiking neural networks with event-driven backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Abstract Spiking Neural networks (SNNs) represent and transmit information by
spatiotemporal spike patterns, which bring two major advantages: biological plausibility and …
被引用次数：35 相关文章

Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang… - 36th Conference on …, 2022 - univ-tlse2.hal.science
Spiking Neural networks (SNNs) represent and transmit information by spatiotemporal spike
patterns, which bring two major advantages: biological plausibility and suitability for ultralow …
[PDF] researchgate.net

[PDF][PDF] Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier - researchgate.net
Abstract Spiking Neural networks (SNNs) represent and transmit information by
spatiotemporal spike patterns, which bring two major advantages: biological plausibility and …

Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang… - 36th Conference on …, 2022 - hal.science
Spiking Neural networks (SNNs) represent and transmit information by spatiotemporal spike
patterns, which bring two major advantages: biological plausibility and suitability for ultralow …

Training spiking neural networks with event-driven backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang… - Proceedings of the 36th …, 2022 - dl.acm.org
Spiking Neural networks (SNNs) represent and transmit information by spatiotemporal spike
patterns, which bring two major advantages: biological plausibility and suitability for ultralow …

Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang… - Advances in Neural …, 2022 - openreview.net
Spiking Neural networks (SNNs) represent and transmit information by spatiotemporal spike
patterns, which bring two major advantages: biological plausibility and suitability for ultralow …
[PDF] neurips.cc

[PDF][PDF] Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier - papers.neurips.cc
Abstract Spiking Neural networks (SNNs) represent and transmit information by
spatiotemporal spike patterns, which bring two major advantages: biological plausibility and …
[PDF] github.io

[PDF][PDF] Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier - yuzhaofei.github.io
Abstract Spiking Neural networks (SNNs) represent and transmit information by
spatiotemporal spike patterns, which bring two major advantages: biological plausibility and …

Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie… - 36th Conference …, 2022 - ut3-toulouseinp.hal.science
Spiking Neural networks (SNNs) represent and transmit information by spatiotemporal spike
patterns, which bring two major advantages: biological plausibility and suitability for ultralow …
[PDF] hal.science

[PDF][PDF] Training Spiking Neural Networks with Event-driven Backpropagation

Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier - hal.science
Abstract Spiking Neural networks (SNNs) represent and transmit information by
spatiotemporal spike patterns, which bring two major advantages: biological plausibility and …