Faulty versions of the Foxp2 gene disrupt neurons’ ability to form synapses in brain regions involved in speech, a new study shows.

Ev Fedorenko’s Interesting Brains Project highlights the human brain’s remarkable capacity to adapt, reorganize in the face of early damage.

Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.

Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.

An MIT study finds that children from different socioeconomic backgrounds tend to have different brain patterns associated with reading difficulty.

On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.

MIT scientists have discovered a population of neurons that light up whenever we see images of food.

Studying speakers of 45 languages, neuroscientists found similar patterns of brain activation and language selectivity.

A team of cognitive scientists and doctors finds that patients with aphasia use different cognitive tools to compensate for language deficits.

A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.