Nonlinear parameter estimation applied to a model of smooth pursuit eye movements |
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| Authors: | W. P. Huebner G. M. Saidel R. J. Leigh |
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| Affiliation: | (1) Department of Biomedical Engineering, Case Western Reserve University, University Hospitals and Cleveland VA Medical Center, 44106 Cleveland, OH, USA;(2) Department of Neurology, Case Western Reserve University, University Hospitals and Cleveland VA Medical Center, 44106 Cleveland, OH, USA |
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| Abstract: | We present a procedure that optimally adjusts specified parameters of a mathematical model to describe a set of measured data. The technique integrates a dynamic systems-simulation language with a robust algorithm for nonlinear parameter estimation, and it can be implemented on a microcomputer. Sensitivity functions are generated that indicate how the operation of the model is affected by each updated parameter. This procedure offers a greater resolution of optimal parameter values than other, less rigorous methods. To illustrate this technique we have applied it to the model of human smooth pursuit eye movements proposed by D.A. Robinson and colleagues (1986). |
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