TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.

Zhu RJ, Zhang M, Zhao Q, Deng H, Duan Y, Deng LJ

DOI: 10.1109/tnnls.2024.3377717
Published: 2025 Mar
Container: IEEE transactions on neural networks and learning systems
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2024.3377717,
  title = {TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.},
  author = {Zhu RJ and Zhang M and Zhao Q and Deng H and Duan Y and Deng LJ},
  year = {2025},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2024.3377717},
  url = {https://doi.org/10.1109/tnnls.2024.3377717}
}

RIS

TY  - JOUR
TI  - TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.
AU  - Zhu RJ
AU  - Zhang M
AU  - Zhao Q
AU  - Deng H
AU  - Duan Y
AU  - Deng LJ
PY  - 2025
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2024.3377717
UR  - https://doi.org/10.1109/tnnls.2024.3377717
ER  -

APA

RJ, Z., M, Z., Q, Z., H, D., Y, D., & LJ, D. (2025). TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2024.3377717

Source records

pubmed · retrieved 2026-09-26T07:11:32.565Z