End-to-end encoding models of MEG dynamics during narrative comprehension

An ongoing collaboration between the Neurobiology of language and the Artificial Cognitive Systems groups at the Donders Institute. We’re using artificial neural networks to model MEG dynamics recorded in participants listening to audiobooks. In this way, we build models of the brain data that allow us to further investigate and hypothesize about what the neural machinery is (likely) doing when humans comprehend language. As such, we build on the previous project where we used the more traditional and established modeling techniques from computational linguistics and natural language processing.

More coming soon …

Kristijan Armeni
postdoctoral fellow