The goal of our research program is to better understand how large-scale networks operate during cognition. We use the visual attention network as a model network. Our work is guided by the questions how large-scale networks set up efficient communication and which neural code is used in different network nodes to drive behavior. We study these issues in two primate brain models, the human and the macaque monkey, using an integrated and complimentary methods approach of invasive electrophysiology (Electrocorticography in human epilepsy patients [together with Bob Knight, UC Berkeley, and Josef Parvizi, Stanford] and simultaneous multi-site recordings in monkeys) with several brain imaging modalities (functional magnetic resonance imaging, diffusion tensor imaging). Our studies in the two primate brain models are done in comparison that is afforded by tasks showing an identical behavioral pattern. Additional lines of research in the lab include the neural basis of attentional selection from natural scenes, the functional parcellation of the human parietal cortex, and the neural basis of object perception (including studies with patients suffering from object agnosia and amnesia together with Marlene Behrmann, Carnegie Mellon).