Title :
An approach for solving the parameters setting problem
Author :
Fleischer, Kurt ; Platt, John ; Barr, Alan
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
A fundamental problem in modeling biological phenomena is choosing the parameter values which give the model its best predictive capability. A general approach is presented that automatically determines locally optimal parameter values to most closely match the model´s behavior with the experimentally observed behavior. As a proof of the concept, the method is applied to the Hodgkin-Huxley model of the membrane action potential
Keywords :
biology; neural nets; neurophysiology; optimisation; Hodgkin-Huxley model; biological phenomena modelling; locally optimal parameter values; membrane action potential; parameters setting problem; predictive capability; Biological system modeling; Biomembranes; Constraint optimization; Differential algebraic equations; Differential equations; Gravity; Mathematical model; Partial differential equations; Predictive models; Wire;
Conference_Titel :
System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
DOI :
10.1109/HICSS.1990.205111
