معرفی
Gregory Zelinsky is a Professor in the Department of Psychology at Stony Brook University, specializing in visual cognition and computational neuroscience. His research focuses on understanding how eye movements reflect attentional and memory processes during tasks like visual search and scene perception. He develops neurocomputational models to simulate human oculomotor behavior, comparing these models' outputs with human data to refine theories of visual cognition. His work integrates behavioral experiments with deep learning and neural network approaches, emphasizing the interplay between bottom-up sensory input and top-down cognitive goals.
Dr. Zelinsky holds a Ph.D. from Brown University (1994). His research spans eye movement analysis, neural modeling of attention, and the application of computational methods to study perception. Key areas include proto-object-based attention, saliency mapping, and the role of the superior colliculus in saccade programming. He has contributed to frameworks like COCO-Search18 and Gazeformer, advancing gaze prediction systems for real-world applications such as medical image analysis and human-computer interaction. Despite no listed teaching roles or awards, his publications reflect a prolific output in cognitive science and computational psychology.
