I study the mental structures and computations used to understand words and sentences, with a focus on how these processes are implemented in the brain. My research uses formal, computationally grounded models of language comprehension to investigate the neural correlates of basic cognitive computations such as lexical access, syntax, and semantics with electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI).
I have a particular interest in experimental methods that are as natural as possible, such as having participants read or listen to a story, to focus on sentence processing as it occurs during every-day language use. Naturalistic techniques are especially suitable for the investigation of language comprehension in populations for which standard experimental tasks may be inappropriate, such as with children with developmental disorders.
I am the director of the Computational Neurolinguistics Lab in the Department of Linguistics at the University of Michigan.
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