2024
Semantic Reconstruction of Continuous Language from Meg Signals
ICASSP 2024accepted
Decoding language from neural signals holds considerable theoretical and practical importance. Previous research has indicated the feasibility of decoding text or speech from invasive neural signals. However, when using non-invasive neural signals, significant challenges are encountered due to their…