Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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 ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...