May 22, 2024 · We have designed a Spiking Multiscale Attention (SMA) module that captures multiscale spatiotemporal interaction information.
Sep 8, 2024 · Recent advancements in neuroscience research have propelled the development of Spiking Neural Networks (SNNs), which not only have the ...
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. Y. Shan, M. Zhang, R. Zhu, X. Qiu, J. Eshraghian, and H. Qu.
May 27, 2024 · This paper proposes a Spiking Multiscale Attention (SMA) module to capture the multiscale spatiotemporal interaction information, and an ...
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. Y Shan, M Zhang, R Zhu, X Qiu, JK Eshraghian, H Qu. arXiv preprint ...
To address this issue, we have designed a Spiking Multiscale Attention (SMA) module that captures multiscale spatiotemporal interaction information. 3. Paper
Qiu, J. K. Eshraghian, H. Qu, “Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning”, arXiv preprint:2405.13672, June 2024.
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning ... Networks and Its Mapping Relationship to Deep Neural Networks ...
Aug 27, 2024 · We propose hybrid spatiotemporal neural networks created by combining the recurrent neural networks and spiking neural networks under a unified surrogate ...
Missing: Multiscale | Show results with:Multiscale
People also ask
What is a spiking neural network?
What is the difference between spiking neural network and deep learning?
What are the advantages of spiking neural networks?
What is ASP learning to forget with adaptive synaptic plasticity in spiking neural networks?
A novel SNN-oriented residual architecture termed MS-ResNet is proposed, which establishes membrane-based shortcut pathways, and it is proved that the ...