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Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3617508
Abstract: Training-based algorithms significantly outperform training-free methods in terms of recognition performance for steady-state visual-evoked potential (SSVEP)-based brain-computer Interfaces (BCIs). However, collecting training data requires calibration experiments that are effort-intensive and often costly. These calibration demands…
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Keywords:
single trial;
transfer;
ssvep decoding;
transfer learning ... See more keywords