THOMAS SERRE

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.

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Biography

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.

Together with Tomaso Poggio and colleagues at MIT he has developed a large-scale computational model of visual recognition in cortex. This research was featured in the BBC series "Visions from the Future" and appeared in several news articles (The Economist, New Scientist, Scientific American, IEEE Computing in Science and Technology, Technology Review and EyeNet) and a post in Slashdot.

Curricum Vitae

Download Thomas Serre's Curriculum Vitae in PDF Format

THOMAS SERRE
Assistant Professor of Cog Ling & Psych Sci
Cognitive Linguistic & Psychological Sciences

E-mail: Thomas_Serre@brown.edu

Thomas Serre's Brown Research URL:
http://research.brown.edu/myresearch/Thomas_Serre

On The Web:
Lab web page

Brown collaborators:

Collaborators at other institutions:
Robert Desimone (MIT, Cambridge, MA)
Laurent Itti (USC, Los Angeles, CA)
Gabriel Kreiman (Harvard Medical School, Cambridge, MA)
Deborah Levy (McLean Hospital, Belmont, MA)
Michele Piana (Genova University, Italy)
Tracey Petryshen (MGH/Broad institute, Cambridge, MA)
Tomaso Poggio (MIT, Cambridge, MA)

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