A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models 事件

A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models arXiv:2605.28563v1 Announce Type: cross Abstract: Evaluating foundation models under appropriate adaptation settings is essential for understanding the quality and transferability of the learned representations. Recent EEG foundation models have demonstrated promising transfer capabilities across tasks and datasets, motivating their growing use in neurotechnology and clinical applications. However, these models