Feature Overlapping: Temporal Differential Decoupling for Efficient Spiking Neural Network Training.

Liu Y, Wang Y, Jiang Y, Chen G, Xu T, Chen F

DOI: 10.1111/nyas.70204
Published: 2026 Feb
Container: Annals of the New York Academy of Sciences
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/nyas.70204,
  title = {Feature Overlapping: Temporal Differential Decoupling for Efficient Spiking Neural Network Training.},
  author = {Liu Y and Wang Y and Jiang Y and Chen G and Xu T and Chen F},
  year = {2026},
  journal = {Annals of the New York Academy of Sciences},
  doi = {10.1111/nyas.70204},
  url = {https://doi.org/10.1111/nyas.70204}
}

RIS

TY  - JOUR
TI  - Feature Overlapping: Temporal Differential Decoupling for Efficient Spiking Neural Network Training.
AU  - Liu Y
AU  - Wang Y
AU  - Jiang Y
AU  - Chen G
AU  - Xu T
AU  - Chen F
PY  - 2026
JO  - Annals of the New York Academy of Sciences
DO  - 10.1111/nyas.70204
UR  - https://doi.org/10.1111/nyas.70204
ER  -

APA

Y, L., Y, W., Y, J., G, C., T, X., & F, C. (2026). Feature Overlapping: Temporal Differential Decoupling for Efficient Spiking Neural Network Training.. Annals of the New York Academy of Sciences. https://doi.org/10.1111/nyas.70204

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pubmed · retrieved 2026-09-25T22:49:08.088Z