Mar 17, 2024 � We propose a novel approach to decoding continuous language from single-trial non-invasive fMRI recordings.

Mar 20, 2024 � The ability to decode continuous language from single trials across subjects demonstrates the promising applications of non-invasive language�...

The ability to decode continuous language from singletrials across subjects demonstrates the promising applications of non-invasivelanguage�...

Mar 21, 2024 � Decoding Continuous Character-based Language from Non-invasive Brain Recordings https://t.co/Oq4hM7KPrV #biorxiv_neursci.

The ability to decode continuous language from single trials across subjects demonstrates the promising applications of non-invasive language brain-computer�...

Mar 20, 2024 � Abstract. Deciphering natural language from brain activity through non-invasive devices remains a formidable challenge.

Decoding continuous language from non-invasive fMRI recordings using a character-based approach shows promising applications in brain-computer interfaces.

Oct 5, 2023 � Here we introduce a model trained with contrastive learning to decode self-supervised representations of perceived speech from the non-invasive recordings.

Decoding Continuous Character-based Language from Non-invasive Brain Recordings ... Deciphering natural language from brain activity through non-�...

Mar 19, 2024 � A recent breakthrough has demonstrated the feasibility of decoding continuous language from non-invasive recordings of native English speakers [�...