A unified foundation model for heterogeneous EEG signal modeling via language-aligned semi-supervised learning

Ziman Ye, Muyun Jiang, Jiaqi Zhu, Hao Zheng, Mengchi Rong, Fang Deng

Open source

DOI
10.1016/j.neunet.2026.109544
Published
2027-01
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2026.109544,
  title = {A unified foundation model for heterogeneous EEG signal modeling via language-aligned semi-supervised learning},
  author = {Ziman Ye and Muyun Jiang and Jiaqi Zhu and Hao Zheng and Mengchi Rong and Fang Deng},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109544},
  url = {https://doi.org/10.1016/j.neunet.2026.109544}
}

RIS

TY  - JOUR
TI  - A unified foundation model for heterogeneous EEG signal modeling via language-aligned semi-supervised learning
AU  - Ziman Ye
AU  - Muyun Jiang
AU  - Jiaqi Zhu
AU  - Hao Zheng
AU  - Mengchi Rong
AU  - Fang Deng
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109544
UR  - https://doi.org/10.1016/j.neunet.2026.109544
ER  - 

APA

Ye, Z., Jiang, M., Zhu, J., Zheng, H., Rong, M., & Deng, F. (2027). A unified foundation model for heterogeneous EEG signal modeling via language-aligned semi-supervised learning. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109544

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