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Cognitive Neuroscience meets Machine Learning. My main research focus is on (dynamic) information processing in the brain. I am particularly interested in understanding the cortical mechanism underlying invariant object- and face-recognition. Questions I ask include: What are the basic computational and representational properties at the different stages of processing? What temporal dynamics govern visual processing and how does experience affect them? What is the role of overt visual attention in visual perception? To find answers to these questions, I use neuroimaging methods (fMRI, as well as EEG/MEG) in combination with machine learning and pattern recognition techniques, psychophysics and computational modeling.