Introduces a channel-oriented design using per-electrode tokenization, multi-view self-distillation, and structured channel dropout within an encoding-alignment-decoding pipeline to improve EEG-to-music reconstruction over baselines.
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Channel-Oriented Design for EEG-to-Music Reconstruction
Introduces a channel-oriented design using per-electrode tokenization, multi-view self-distillation, and structured channel dropout within an encoding-alignment-decoding pipeline to improve EEG-to-music reconstruction over baselines.