Center for Interdisziplinary Research

Gregory Zelinsky

Departments of Psychology and Computer Science, Stony Brook University, Stony Brook, New York, United States
Email: Gregory.Zelinsky@stonybrook.edu
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Fellow of the ZiF research group "Competition and Priority Control in Mind and Brain: New Perspectives from Task-Driven Vision"


CV

Greg Zelinsky received his Ph.D. in Cognitive Science from Brown University in 1993 with a doctoral thesis on the behavioral study of eye movements during visual search. From 1993 to 1995 he worked as a post-doctoral researcher at the Center for Visual Science and in the Computer Science Department at the University of Rochester. In 1995 he moved to the University of Illinois at Urbana-Champaign after accepting a Fellowship to study at the Beckman Institute. At the Beckman Institute he collaborated with researchers in the Artificial Intelligence, Cognitive Neuroscience, and Human Perception and Performance groups. In 1999 he accepted an Assistant Professor position in the Psychology Department at Stony Brook University. He was appointed to Associate Professor of Psychology in 2004 and to Associate Professor in Computer Science in 2006, and maintains active research programs in both departments. He is currently serving as head of the Cognitive Science area within the Psychology Department at Stony Brook University.



Current Main Research Interests

Zelinsky's work attempts to integrate behavioral, computational, and neuroimaging techniques to better understand a broad range of visual cognitive behaviors and processes, including search, object representation, working memory, and scene perception. A major research focus of his lab monitors how people move their eyes as they perform various visual search tasks, then attempts to describe this oculomotor behavior in the context of an image-based neurocomputational model. The model "sees" the same stimuli presented to the human observers, and outputs a sequence of simulated eye movements as it performs the identical task. This simulated pattern of eye movements is then compared to the human behavior in order to evaluate and refine the model, and hopefully our understanding of the representations and processes underlying visual search behavior.



Five selected publications with particular relevance to the ZiF Research Group



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