Representational and Functional Robustness to Electrode Montages in EEG Foundation Models
EEG foundation models (EEG-FMs) are intended to generalize across different datasets by learning representations that, ideally, are invariant to dataset-specific EEG configurations such as electrode montages. However, EEG-FMs that accept different montages as input do not guarantee that representations and predictions...
Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi et al.
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