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MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
Data-efficient neural decoding is a central challenge for speech brain-computer interfaces. We present the first demonstration of transfer learning and cross-task decoding for MEG-based speech models spanning perception and production. We pre-train a Conformer-based model on 50 hours of single-subje
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