This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...

Restoring communication Jerry Tang and colleagues at The University of Texas at Austin have developed a language decoder that translates brain activity data from functional MRI scans into a continuous ...