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MATH 723 Mathematical Neuroscience 3.0 Credits

This is an introduction to mathematical and computational techniques for analyzing neuronal models. Topics include conductance based models, neuronal excitability, bursting, neural networks, and compartmental models, as well as phase plane analysis, slow-fast systems, elements of applied bifurcation theory, and simulating differential equation models using MATLAB.

College/Department: College of Arts and Sciences
Repeat Status: Not repeatable for credit

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