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Sebastian Seung is a Professor at the Princeton Neuroscience Institute, specializing in the intersection of neuroscience and artificial intelligence. He has made pivotal contributions to the field of connectomics, particularly employing convolutional neural networks to analyze electron microscopy images of neural circuits. His research focuses on reconstructing neuronal wiring diagrams, such as the connectome of the fly brain, leading to significant discoveries in circuit mechanisms underlying vision. Under his leadership, the Seung Lab has evolved to prioritize understanding brain function, development, and plasticity while scaling connectomic technologies for mammalian brains. His collaborations include prominent researchers and institutions, utilizing high-throughput imaging facilities to advance the field.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.