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Jun Zhang is a Professor in the Department of Psychology at the University of Michigan, with a courtesy appointment in the Department of Statistics. His research interests encompass computational modeling, cognition and cognitive neuroscience, decision-making, and quantitative methods. He is actively involved in the Diversity Committee at the university. Zhang's additional research interests include perception and qualitative approaches, as well as mathematical psychology and computational neuroscience, which involve areas such as neural network theory and reinforcement learning. He also explores dynamical analyses of the nervous system, such as single neuron activity and event-related potentials, alongside computational vision and choice-reaction time models. Furthermore, his work incorporates aspects of Bayesian decision theory and game theory, making significant contributions to the understanding of cognitive processes through a quantitative lens.
University of Michigan • Ann Arbor, MI
Teaching and conducting research focused on cognitive processes, quantitative methods, and computational modeling.
Department of Electrical Engineering and Computer Science