Decode Neural signal as Speech

arXiv:2403.01748v1 Announce Type: new
Abstract: Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implantation surgery, non-invasive neural signals (e.g. EEG, MEG) have attracted increasing attention considering their safety and generality. However, the exploration is not adequate in three aspects: 1) previous methods mainly focus on EEG but none of the previous works address this problem …

abstract arxiv attention bci brain brain-computer interface computer cs.ai cs.cl decode decoding dynamics eeg growth language language models large language large language models meg safety signal speech surgery type