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Building Computer Models That See Everything


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Simons Foundation Junior Fellow Kathryn Bonnen

For decades, neuroscientists had expected that 2D and 3D visual processes would operate similarly, just at different levels of complexity and perhaps in different areas of the brain.

Simons Junior Fellow Kathryn (Kate) Bonnen is a postdoctoral scholar at New York University who also has an appointment at the Flatiron Institute’s newly opened Center for Computational Neuroscience (CCN).

Neuroscientists do not yet have a full understanding of what happens inside the brain as we see the world. Many of the classical models for understanding vision, while helpful, are limited to two dimensions and can’t fully account for our visual experiences. But Kathryn Bonnen hopes to change that, working to build more robust models for a 3D world.

"The field of visual perception actually has deep computational roots, having relied on foundational research on radars and signal detection performed by engineers during World War II," Bonnen says in an interview. "In the years since, engineers, mathematicians and physicists have all shaped the field."

From Simons Foundation
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