My core research program is aimed at understanding the neural computational mechanisms of perception and attention. These are the processes by which the brain selects important information in the perceptual environment, routes that information to decision making and planning systems in frontal cortex, and then selects the appropriate actions to take.
My research group is also intensively engaged in translational and applied cognitive neuroscience. We study the mechanisms of auditory perception in the human brain and translate our discoveries into applied software for artificial intelligence and robotics. In particular we work on computational auditory scene analysis and machine hearing, and we develop software for the humanoid robot iCub (www.icub.org).