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Pulin Gong is an Associate Professor in the School of Physics at the University of Sydney. His research is focused on understanding self-organizing mechanisms and spatiotemporal dynamics in neural circuits, which play a critical role in the principles underlying neural computation. He investigates distributed dynamic computation, proposing propagating neural waves as interactions that enable neural systems to perform such computations. His work delves into how these dynamics contribute to perceptual cognitive functions like visual feature integration and associative learning. Gong's efforts have led to significant insights into complex neuronal dynamics, particularly the irregular firing patterns of cortical neurons and their implications for neural coding principles. He has developed methods for detecting coherent spatiotemporal patterns in large-scale data, revealing a richer repertoire of coherent structures within neural activity. His research aligns with the Faculty of Science Research Strengths in Complex Systems, Brain Behaviour Cognition, and Data Decisions, contributing to a deeper understanding of the foundational aspects of neural dynamics.
This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.