Meta AI describes a system that predicts fMRI-measured brain responses during naturalistic film viewing by jointly modeling ...

Researchers demonstrates a revolutionary AI foundation model capable of predicting human brain activity from multisensory stimuli.

A schematic view of the main findings, adapting from a brain figure in the study. Our ability to store information about familiar objects depends on the connection between visual and language ...

However, there's evidence that parts of the brain involved in language, like the dorsal anterior temporal lobe (ATL), are also involved in this process— dementia patients with ATL damage, for example, ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...

Meta has unveiled TRIBE v2, a foundation AI model that predicts how the human brain responds to sight, sound and language.

Sentences with greater linguistic complexity are most likely to fire up a key brain language processing center, according to a study that employed an artificial language network. With help from an ...

Researchers discover that the brain proactively builds sentence structures during speech using predictive processing, ...

Learning to read reshapes how the brain processes language. New research from Baycrest and the University of São Paulo shows that learning to read fundamentally changes how the brain responds to ...