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Motor Imagery Classification
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motor-imagery-classification-e44e3121·1 events·first seen 27d agoAliases: Motor Imagery Classification
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Atoms of Thought: Universal EEG Representation Learning with Microstates
This paper proposes using EEG microstates as discrete tokenized representations for universal brain-computer interface tasks including sleep staging, emotion recognition, and motor imagery classification. The microstate tokenizer is built via clustering on a large medical EEG dataset and outperforms time- and frequency-domain baselines across multiple downstream tasks.