✦ LIBER ✦

Nonlinear parameter estimation applied to a model of smooth pursuit eye movements

✍ Scribed by W. P. Huebner; G. M. Saidel; R. J. Leigh

Publisher: Springer-Verlag
Year: 1990
Tongue: English
Weight: 872 KB
Volume: 62
Category: Article
ISSN: 0340-1200
DOI: 10.1007/bf00201441

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✦ Synopsis

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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