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eess.SP2026
PRiSE-EEG: A Prior-Guided Foundation Model with Depth-Stratified Experts for Cross-Paradigm EEG Representation Learning
Wei Xiong, Jiangtong Li, Kun Zhu +2
EEG foundation models aim to learn reusable representations across heterogeneous paradigms, yet existing approaches often use uniform adaptation mechanisms and are typically report…
eess.SP2025★ 1 cited
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
Wei Xiong, Jiangtong Li, Jie Li +2
Electroencephalography foundation models (EEG-FMs) have advanced brain signal analysis, but the lack of standardized evaluation benchmarks impedes model comparison and scientific p…
eess.SP2025
ALFEE: Adaptive Large Foundation Model for EEG Representation
Wei Xiong, Junming Lin, Jiangtong Li +2
While foundation models excel in text, image, and video domains, the critical biological signals, particularly electroencephalography(EEG), remain underexplored. EEG benefits neuro…