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Research questionHow can EEG decoding remain reliable across subjects and sessions for assistive target selection?EEG signals vary across people and recording days, making decoders trained in one setting unreliable in another. This instability complicates selecting intended targets in assistive interfaces.
AI
Health
Machine Learning
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Robotics
Latest papersRecent research connected to this question, newest first.EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target SelectionThe evidence covers VIG-48 and BCI Competition IV-2a/2b decoding under subject and session shifts, including leave-one-subject-out and cross-day settings. It also includes a six-participant offline robot-scene study using candidate-constrained target selection and subject-specific calibration; these results do not establish performance in broader populations or online assistive use.research paper · Sep 8, 2026
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