MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks

[PDF] arxiv.org

Efficient training spiking neural networks with parallel spiking unit

Y Li, Y Sun, X He, Y Dong, D Zhao, Y Zeng - arXiv preprint arXiv …, 2024 - arxiv.org
Efficient parallel computing has become a pivotal element in advancing artificial intelligence.
Yet, the deployment of Spiking Neural Networks (SNNs) in this domain is hampered by their …
被引用次数：2 相关文章 所有 2 个版本

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks

Y Li, Y Sun, X He, Y Dong, D Zhao… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Efficient parallel computing has become a pivotal element in advancing artificial intelligence.
Yet, the deployment of Spiking Neural Networks (SNNs) in this domain is hampered by their …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference

Y Li, X He, Q Kong, Y Zeng - Information Sciences, 2024 - Elsevier
Spike-based neuromorphic hardware has demonstrated substantial potential in low energy
consumption and efficient inference. However, the direct training of deep spiking neural …
相关文章 所有 4 个版本
[PDF] arxiv.org

ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting

Z Song, Q Liu, Q Yang, Y Peng, H Li - arXiv preprint arXiv:2406.12726, 2024 - arxiv.org
Keyword Spotting (KWS) is essential in edge computing requiring rapid and energy-efficient
responses. Spiking Neural Networks (SNNs) are well-suited for KWS for their efficiency and …
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