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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

A warm welcome to Sertug Gürel who just started his PhD in our lab! Sertug will use deep learning and neural data to investigate the spatio-temporal dynamics of sentence processing in the brain.

New preprint available online: Lopopolo, A. & Rabovsky, M. (2022). Tracking lexical and semantic prediction error underlying the N400 using artificial neural network models of sentence processing. Link to bioRxiv.