EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer

arXiv:2405.02165v1 Announce Type: new
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