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Imaging Science Webcast Tutorials
Statistical Image Models: Engineering, Perception, and Neurobiology

Eero P. Simoncelli
Professor, Neural Science Mathematics, and Psychology, New York University
Dr. Simoncelli is a Professor of Neural Science, Mathematics, and Psychology at New York University. He began his higher education as a physics major at Harvard, studied mathematics at Cambridge University for a year and a half on a Knox Fellowship , and earned a doctorate in electrical engineering and computer science at the Massachusetts Institute of Technology. He then joined the faculty of the Computer and Information Science Department at the University of Pennsylvania.  In 1996, he moved to NYU as part of the Sloan Center for Theoretical Visual Neuroscience.  In August 2000, he became an Investigator of the Howard Hughes Medical Institute, under their new program in Computational Biology.  His research interests span a wide range of topics in the representation and analysis of visual images, in both machine and biological systems. 

VIEW Webcast Tutorial
Dr. Simoncelli's tutorial focuses on statistical image models: engineering, perception, and neuorbiology.  Suggested reading reference(s) are provided below.

Click here to view Dr. Simoncelli's tutorial on your iPhone, iPad, or iPod.

Suggested Reading

Field, DJ. What is the goal of sensory coding? Neural Computation 1994;6:559-601. Abstract accessed online July 30, 2010: http://portal.acm.org/citation.cfm?id=188136.

Ruderman DL. The statistics of natural images. Network 1996;5:517-548. Abstract accessed online July 30, 2010: http://www.informaworld.com/smpp/1266645083-82594529/content~db=all~content=a723701421~frm=titlelink


Simoncelli EP and Olshausen. Natural image statistics and neural representation. Annu Rev Neurosci 2001;24:1193—1216. Abstract accessed online July 30, 2010:
http://www.ncbi.nlm.nih.gov/pubmed/11520932