Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling Ke Yi

Large-scale pre-training has shown great potential to enhance models on downstream tasks in vision and language. Developing similar techniques for scalp electroencephalogram (EEG) is suitable since unlabelled data is plentiful.