MIT cognitive neuroscientist Evelina Fedorenko will receive a 2025 Troland Research Award for her groundbreaking contributions toward understanding the language network in the human brain.

MIT associate professor Evelina Fedorenko studies the brain's language processing regions: how they arise, how they're affected by different kinds of input, and how each contributes to language comprehension.

In a new study involving a group of polyglots, the brain activity of the participants was monitored using a method called functional magnetic resonance...

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

An MIT study of polyglots found the brain's language network responds more strongly when hearing languages a speaker is more proficient in — and much more weakly to the speaker's native language.

MIT neuroscientists identified clusters of neurons that appear to respond to word strings of different lengths. These "temporal windows" range from just one word up to about six words.

A group of neuroscientists argue that our words are primarily for communicating, not for reasoning.

[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-Ma...

MIT research finds the brain's language-processing network also responds to artificial languages such as Esperanto and languages made for TV, such as Klingon on "Star Trek" and High Valyrian and Dothraki on "Game of Thrones."

MIT McGovern Institute researchers make the case that language is a tool for communication, not for thought.

A quarter century after its founding, the McGovern Institute at MIT reflects on its discoveries in the areas of basic neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) found that the Multiple Demand and Language brain systems encode specific code properties and uniquely align with machine-learned representations of code.

The MIT Simons Center for the Social Brain catalyzes multiperspective, multiscale research collaborations to understand the neural mechanisms underlying social cognition and behavior.

A woman grew up without her left temporal lobe, which highlights how amazingly plastic the brain is.

Case reports of people with atypical brains reveal the human brain's staggering ability to adapt to damage.

Researchers at MIT are investigating the brain of a woman, known by her initials EG, with a missing temporal lobe.

Using functional magnetic resonance imaging (fMRI), MIT neuroscientists tested brain responses to constructed languages (conlangs) and found that they are processed by the same brain network as natural languages.

Science suggests that words aren't strictly necessary for reasoning.

I barreled into the world — a precipitous birth, the doctors called it — at a New York City hospital in the dead of night. In my first few hours of life...

Functional magnetic resonance imaging (fMRI), which measures changes in blood flow throughout the brain, has been used over the past couple of decades for a variety of applications, including "functional anatomy"—a way of determining which brain areas are switched on when a person carries out a particular task. fMRI has been used to look at people's brains while they're doing all sorts of things—working out math…