Nonlinear dynamics with application to neuroscience
Paul So is a theoretical physicist specialized in nonlinear dynamics with application to neuroscience. 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 the co-director for the Center for Neural Dynamics within the Krasnow Institute for Advanced Study. Dr. So’s recent research interests include network dynamics of neurons, the emergence of patterns in neuronal ensembles, the fundamental properties of nonlinear systems, and nonlinear techniques in analyzing neuronal data. Ultimately, this work promises to lead to a better understanding on the mechanisms for information processing in the brain and on dynamical causes related to neurological pathological problems such as epilepsy.