We study the cognitive and neural processes that derive meaning from speech and text. The long-term goals are to specify the algorithms by which linguistic input is converted in to mental representations of meaning, including sentence meanings (such as propositions), word meanings (such as concepts), and social aspects of meaning. We further aim to characterize the neural circuits that implement these algorithms. We use a whole range of tools, including EEG, fMRI, MEG, and behavioral data. We apply these tools with an emphasis on natural or “every-day” language comprehension.

There are a few places to get a “birds-eyed view” of our work:

Listen to Jon and Paul Middlebrooks of the Brain Inspired Podcast discuss all things brains, language, and AI

Read our 2022 review article in Annual Reviews of Linguistics

Check out the many current projects listed on Jon’s website

Of course, there are many places to go for a deeper dive: