Cognitive Neuroscience Lab

Walnuss
Photo: Milena Rabovsky

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 and via projects within the Collaborative Research Centers Limits of Variability in Language (SFB1287) (project B03) and  Data Assimilation (SFB 1294) (project B09) at the University of Potsdam.

Walnuss
Photo: Milena Rabovsky

News

New paper in press: Contier, F., Weymar, M., Wartenburger, I., & Rabovsky, M. Sustained attention as measured by RT variability is a strong modulator for the P600, but not the N400. Journal of Cognitive Neuroscience. Link to bioRxiv.

New preprint available online: Lindborg*, A., Musiolek*, L., Ostwald, D., & Rabovsky, M.  Semantic Surprise predicts the N400 brain potential. Link to bioRxiv.