Channel adaptation for EEG foundation models is architecture- and regime-dependent, with flexible models showing negative transfer risks during fine-tuning and small models outperforming larger ones on most tasks.
Beyond within-subject performance: A multi-dataset study of fine-tuning in the EEG domain,
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Channel Adaptation for EEG Foundation Models: A Systematic Benchmark Across Architectures, Tasks, and Training Regimes
Channel adaptation for EEG foundation models is architecture- and regime-dependent, with flexible models showing negative transfer risks during fine-tuning and small models outperforming larger ones on most tasks.