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A mathematical modeling course focusing on dynamical systems with applications in neuroscience. Topics include equilibria, bifurcations, phase plane analysis, limit cycles, and numerical integration techniques. Neuroscience examples will be taken from Hodgkin-Huxley, integrate-and-fire, and firing-rate models. Prerequisite: MATH 280 .