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cs.LG2026
Representational and Functional Robustness to Electrode Montages in EEG Foundation Models
Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi +3
EEG foundation models (EEG-FMs) are intended to generalize across different datasets by learning representations that, ideally, are invariant to dataset-specific EEG configurations…
cs.AI2026
From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP
Justus Meyer zu Bexten, Nico Scherf, Bogdan Franczyk +1
Emerging foundation models (FMs) in electroencephalography (EEG) promise a path to scale deep learning in diagnostics and brain-computer interfaces despite data scarcity, yet their…