My long-term goal is to help realize one of the oldest dreams in artificial intelligence: To reverse-engineer the brain and build machines that can see and interpret the visual world as well as we do. Achieving such an ambitious goal would give scientists a powerful tool to uncover and understand key mechanisms of human perception and cognition as well as to create a new generation of "seeing" machines.
Dr Serre received a PhD in computational neuroscience from the Massachusetts Institute of Technology (MIT) in 2006 and a master degree in EECS from the Ecole Nationale Supérieure des Télécommunications de Bretagne (Brest, France) in 2000. His research focuses on understanding the brain mechanisms underlying the recognition of objects and complex visual scenes using a combination of behavioral, imaging and physiological techniques. These experiments fuel the development of quantitative computational models that try not only to mimic the processing of visual information in the cortex but also to match human performance in complex visual tasks.
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