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Forward sensitivity analysis of the FitzHugh-Nagumo system: Parameter Estimation

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A presentation on the utility of the forward sensitivity method for the parameter estimation. Moreover, an analysis of the cost functional can reveal a way to optimize measurement placement by controlling the shape of the cost functional and improve the minimization characteristics. Demonstration is provided using the famous FitzHugh-Nagumo model from computational neuroscience.

This was delivered as part of our contribution in the Second International Nonlinear Dynamics Conference (NODYCON 2021) held virtually on February 16-19, 2021.

A preprint is available at: arxiv.org/abs/2102.03437

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