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Jonathan Pillow is a Professor in the Department of Psychology and the Princeton Neuroscience Institute at Princeton University. He specializes in computational neuroscience and statistical machine learning, focusing on the development of statistical tools to interpret high-dimensional neural datasets. His research seeks to understand how neurons encode and transmit information using spike trains. He collaborates closely with experimentalists to study neural encoding, decoding, and the transformation of neural representations across different brain areas. His work aims to uncover theoretical principles that govern the design of sensory systems, emphasizing the brain's capacity to learn, perceive, and make decisions.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.