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Achieving state-of-the-art performance in speech decoding with a dataset that offers unprecedented depth and breadth in MEG recordings could revolutionize non-invasive brain-computer interfaces.
Forget complex learned tokenizers for MEG data – simple, fixed sample-level tokenization works just as well for foundation models.
