EEG Task

EEG task research focuses on leveraging electroencephalogram (EEG) data to perform various cognitive and clinical tasks, primarily through advanced machine learning techniques. Current efforts concentrate on developing robust and versatile models, including transformers and large language models adapted for EEG signal processing, often employing self-supervised learning and multi-task learning paradigms to improve accuracy and efficiency across diverse applications. This research is significant for advancing brain-computer interfaces, improving diagnosis of neurological conditions like Alzheimer's disease, and enabling more nuanced understanding of brain activity in various contexts, such as media memorability.