A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks.
- DOI
- 10.1016/j.neunet.2024.106976
- Published
- 2025 Mar
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2024.106976,
title = {A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks.},
author = {Wu K and E S and Yang N and Zhang A and Yan X and Mu C and Song Y},
year = {2025},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2024.106976},
url = {https://doi.org/10.1016/j.neunet.2024.106976}
}RIS
TY - JOUR TI - A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks. AU - Wu K AU - E S AU - Yang N AU - Zhang A AU - Yan X AU - Mu C AU - Song Y PY - 2025 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2024.106976 UR - https://doi.org/10.1016/j.neunet.2024.106976 ER -
APA
K, W., S, E., N, Y., A, Z., X, Y., C, M., & Y, S. (2025). A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2024.106976
Source records
- pubmed · retrieved 2026-09-27T15:29:44.655Z