EEG foundation models are outperformed by task-specific models on a new rigorous 4-letter handwriting decoding task from EEG, with performance dropping without movement-onset knowledge and improving more from better test-time signals than from scaling data.
A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device: O
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Handwriting decoding as a challenging motor task for EEG Foundation Models
EEG foundation models are outperformed by task-specific models on a new rigorous 4-letter handwriting decoding task from EEG, with performance dropping without movement-onset knowledge and improving more from better test-time signals than from scaling data.