At the Cognitive Neuroscience Lab at the University of Potsdam (Rabovsky Lab), we combine explicit computational models (specifically, artificial neural network models, aka deep learning models) and neuroscientific evidence (mostly event-related brain potentials, ERPs) in order to understand the neurocognition of language and meaning.
We receive funding from the German Research Foundation (DFG) via an Emmy Noether grant. We are associated with the Collaborative Research Centers Limits of Variability in Language (SFB1287) and Data Assimilation (SFB 1294) at the University of Potsdam.
We are very happy to welcome a new PhD student in the lab. Friederike Schütte will work on figuring out the P600 ERP component and what it might tell us about language comprehension. Welcome Friederike!