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 growing! Excited to welcome two new postdocs in the lab, Alma Lindborg and Alessandro Lopopolo, who will both work on relating neural network models of language processing and brain responses measured during human language processing. Welcome Alma and Alessandro!