Paul So is a theoretical physicist specialized in nonlinear dynamics. He obtained his PhD from the Chaos Group at the University of Maryland. His previous work includes control theories for high dimensional chaotic systems, theories and experiments in quantum chaos, the characterization of synchrony in chaotic systems, and the dynamical reconstruction of nonlinear systems using both the observer technique and unstable periodic orbits. He is a faculty member of the Center for Neuronal Dynamics within the Krasnow Institute for Advanced Study. His recent research interests include network dynamics of neurons, emergence of patterns in neuronal ensembles, the fundamental properties of nonlinear systems, and nonlinear techniques in analyzing neuronal data. |
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