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Successful interactions in our environment require that the brain pieces together different sources of information (features) and interprets them as coherent units (objects, scenes). How does the brain solve the puzzle of coherent visual perception? How do we extract and represent information about global structures and objects in complex scenes?

Research in our lab investigates these challenging computational problems using functional imaging (MRI, EEG, MEG) and psychophysical methods. The main goals of our research are:

• to study how local image features are integrated into global coherent percepts

• to examine higher cognitive processes that contribute to the recognition and categorization of natural objects and scenes

• to unravel the learning-dependent and developmental plasticity mechanisms that underlie these processes across the life-span from infancy to ageing

Our ongoing work investigates:

• the combination of different cues for the perception of 3D  dynamic objects and natural scenes

• the effects of perceptual learning and categorization on object perception

• the development of coherent visual perception and categorization