Professor, Department of Neuroscience; Director, Zanvyl Krieger Mind/Brain Institute
The brain’s most computationally remarkable ability is visual object perception. Computers can beat us at math and chess, but machine vision has never come remotely close to the human capacity for identifying, categorizing, evaluating, and interacting with objects. The difficulty lies in the enormous complexity and high dimensionality of object information. Dr. Connor’s research aims to understand the neural algorithms that make object vision possible. We hope that our findings will not only explain the neural basis of visual experience but will someday contribute to designs for more powerful machine vision systems and brain-machine interfaces.
Current research examines questions such as: