What masking geometry works best for EEG foundation models?
EEG foundation models hold promise for scalable brain-signal decoding across clinical and cognitive neuroscience applications, yet their pre-training pipelines remain poorly understood. Among design choices, the masking strategy is particularly critical: it determines what the network must predict and from which contex...
Pierre Guetschel, B. Aristimunha, Y. El Ouahidi et al.
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