Humans are able to recognize and remember visual experiences effortlessly in rich detail, a feat that current artificial systems still struggle to accomplish.  

Our goal is to understand how the human brain achieve this impressive computational feat to develop “cognitive machines”— biologically inspired computational models that can recognize and interact with the world like humans. 

To achieve this goal, we investigate human perception and memory processes using a combination of human neuroimaging (fMRI and MEG/EEG), behavior, computational modeling and machine learning. 

We are hiring. Please get in touch, if you are interested in collaborative interdisciplinary projects including computer vision, deep neural networks,  cognitive  neuroscience, brain imaging (fMRI and EEG/MEG) experiments, challenging data analysis methods, machine learning and pattern recognition.