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.

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

Language-processing programs infer the meaning of words through statistics, and this computational approach can assign many kinds of information to a single word, just like the human brain, according to new MIT research. The study, published April 14, 2022, in the journal Nature Human Behavior, was co-led by Gabriel Grand, a graduate student at MIT's Computer Science and Artificial Intelligence Laboratory, and…

MIT Department of Brain and Cognitive Sciences professors Ev Fedorenko, Ted Gibson, and Roger Levy believe they have an answer to a fundamental question: What is the purpose of language?

At a symposium of the Simons Center for the Social Brain, six speakers described a diversity of recently launched studies aimed at improving understanding of the autistic brain.

From search engines to voice assistants, computers are getting better at understanding what we mean. That's thanks to language-processing programs that make sense of a staggering number of words, without ever being told explicitly what those words mean. Such programs infer meaning instead through statistics—and a new study reveals that this computational approach can assign many kinds of information to a single…

Four from MIT — Yiming Chen '24, Wilhem Hector, Anushka Nair, and David Oluigbo — have been selected as 2025 Rhodes Scholars and will begin fully funded postgraduate studies at Oxford University in the U.K. next fall.

Researchers have mapped hundreds of semantic categories to the tiny bits of the cortex that represent them in our thoughts and perceptions. What they discovered might change our view of memory.

"Can machines think?" So asked Alan Turing in his 1950 paper, "Computing Machinery and Intelligence." Turing quickly noted that, given the difficulty of defining thinking, the question is "too meaningless to deserve discussion." As is often done in ...