MIT Schwarzman College of Computing

With the assistance of an artificial language network, MIT neuroscientists have discovered what types of sentences serve to stimulate the brain's primary language processing regions. In a study published in Nature Human Behavior, they revealed that these areas respond more robustly to sentences that display complexity, either due to unconventional grammar or unexpected meaning. Evelina Fedorenko,…

Neuroscientists at MIT, with the aid of an artificial language network, have determined the type of sentences that most likely activate the brain's main language processing centers. The recently published study demonstrates that sentences which are more complex, either due to exceptional grammar or unexpected meanings, stimulate stronger responses in these regions. On the other…

In collaboration with an artificial language network, neuroscientists at Massachusetts Institute of Technology (MIT) have revealed what type of sentences most significantly engage the brain’s primary language processing areas. The study indicates that sentences featuring unusual grammar or unexpected meaning trigger a heightened response in these language-oriented regions, as opposed to more straightforward phrases, which…

Using an artificial language network, MIT neuroscientists have found that sentences with unusual grammar or unexpected meanings tend to strongly activate the brain's key language processing centers. In contrast, straightforward sentences cause only minimal engagement of these regions, as do nonsensical sequences of words. The researchers discovered this by analyzing how human participants' brain network…