Maximizing Single-Feature Separability for Improving Transfer Learning in Motor Imagery EEG Decoding
MSFS provides a within-dataset transfer learning enhancement for MI EEG decoding, improving target-subject accuracy under limited calibration data without relying on external datasets, and can be readily integrated into common deep MI classification pipelines.
Authors
- Zefeng Xu
- Zhuliang Yu
Institutions
- South China University of Technology (CN)
Publication Details
- Journal
- Brain Sciences
- Published
- 2026-02-14
- DOI
- https://doi.org/10.3390/brainsci16020230
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00