A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition
The performance validates the efficacy of dynamic time-frequency feature fusion and our proposed method provides a new paradigm for calibration-free SSVEP-based BCI systems.
Authors
- Tianao Cao (ORCID: https://orcid.org/0000-0002-8797-0709)
- Yiwei Dai
- Lurong Jiang (ORCID: https://orcid.org/0000-0003-4870-9361)
- Jijun Tong
- Yanyun Dai (ORCID: https://orcid.org/0000-0001-8466-2404)
- Zhihong Chen (ORCID: https://orcid.org/0009-0006-2785-4948)
- Hongyou Zhou (ORCID: https://orcid.org/0009-0005-7427-0702)
- Min Fang (ORCID: https://orcid.org/0000-0001-8060-1321)
Institutions
- Zhejiang Sci-Tech University (CN)
- Harbin Institute of Technology (CN)
- Zhejiang Lab (CN)
- Weihai Science and Technology Bureau (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3389/fnins.2025.1679451
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Zhejiang Sci-Tech University
- Natural Science Foundation of Zhejiang Province