Benchmarking EEG Foundation Models at Scale: Lessons from 20,000 Evaluations
Electroencephalography (EEG) foundation models (FMs) promise transferable neural representations, yet their advantages over strong supervised baselines and their prospects for further scaling remain unclear. To address these questions, we introduce EEG-Arena, an open-source benchmark covering 30 EEG FMs and 25 supervis...
Zhi-Ge Chen, Shu-Hai Peng, Cheng-Xuan Qin et al.
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