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EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer
May 6, 2024, 4:47 a.m. | Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: Deciphering the intricacies of the human brain has captivated curiosity for centuries. Recent strides in Brain-Computer Interface (BCI) technology, particularly using motor imagery, have restored motor functions such as reaching, grasping, and walking in paralyzed individuals. However, unraveling natural language from brain signals remains a formidable challenge. Electroencephalography (EEG) is a non-invasive technique used to record electrical activity in the brain by placing electrodes on the scalp. Previous studies of EEG-to-text decoding have achieved high …
abstract arxiv bci brain brain-computer interface brain signals computer cs.ai cs.cl curiosity decoding eeg functions grasping however human language natural natural language pre-training technology text training transformer type view walking
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