Neuro-GPT: Towards A Foundation Model for EEG

arXiv:2311.03764v4 Announce Type: replace
Abstract: To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-Computer Interface (BCI) tasks, and to harness the power of large publicly available data sets, we propose Neuro-GPT, a foundation model consisting of an EEG encoder and a GPT model. The foundation model is pre-trained on a large-scale data set using a self-supervised task that learns how to reconstruct masked EEG segments. We then fine-tune the model on a Motor Imagery Classification task to …

abstract arxiv bci brain brain-computer interface computer cs.lg data data sets eeg eess.sp encoder foundation foundation model gpt harness neuro power tasks type