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Neuro-GPT: Towards A Foundation Model for EEG
March 5, 2024, 2:44 p.m. | Wenhui Cui, Woojae Jeong, Philipp Th\"olke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy
cs.LG updates on arXiv.org arxiv.org
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
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