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Ed Connor is a Professor in the Solomon H. Snyder Department of Neuroscience at Johns Hopkins University. He focuses on neural population representation and the processing of visual information within the brain. His work examines how the brain uses population coding to represent stimuli and how these neural codes can be deciphered. Connor's lab investigates the algorithms involved in transforming visual imagery into meaningful knowledge, with an emphasis on understanding the ventral visual pathway. By leveraging biological principles, Connor aims to develop advanced computer vision systems that possess human-like capabilities and design prosthetic interfaces for the blind, allowing the induction of vivid visual experiences. Through his research, Connor seeks to unlock the complexities of visual perception and its underlying neural mechanisms, providing insights into both cognitive science and practical applications in technology and medicine.
Department of Pathology - PhD in Pathobiology. GRE is not required.