The scientific study of reading has a rich history that spans disciplines from vision science to
linguistics, psychology, cognitive neuroscience, neurology, and education. The study of …

Deep learning algorithms trained to predict masked words from large amount of text have
recently been shown to generate activations similar to those of the human brain. However …

Over the past 2 decades, researchers have tried to uncover how the human brain can extract
linguistic information from a sequence of visual symbols. The description of how the brain's …

Reading a sentence entails integrating the meanings of individual words to infer more
complex, higher-order meaning. This highly rapid and complex human behavior is known to …

In expert readers, a brain region known as the visual word form area (VWFA) is highly
sensitive to written words, exhibiting a posterior-to-anterior gradient of increasing sensitivity …

A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …

The visual word form area (VWFA) is a region of human inferotemporal cortex that emerges
at a fixed location in the occipitotemporal cortex during reading acquisition and …

A sentence is more than the sum of its words: its meaning depends on how they combine
with one another. The brain mechanisms underlying such semantic composition remain …

Objective Lexical retrieval deficits are characteristic of a variety of different neurological
disorders. However, the exact substrates responsible for this are not known. We studied a …

Deep learning has recently allowed substantial progress in language tasks such as
translation and completion. Do such models process language similarly to humans, and is …