AI RESEARCH
From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP
arXiv CS.AI
•
ArXi:2605.11885v1 Announce Type: new 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 opaque nature remains a barrier to wider adoption. We investigate attention-aware Layer-wise relevance propagation (LRP) as a post-hoc attribution method for EEG-FMs, extending LRP's use on convolutional neural network (CNN)-based EEG models to the Transformer architectures that current FMs are based on.