Title :
Neuronal system identification: the passive electrical properties
Author :
Bardakjian, Berj L.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
Computer-aided parameter estimation for models representing the passive electrical properties of neurons is described, using either signal or system models. The validity of the parameter estimation method is checked using computer-simulated examples. The optimization strategy is based on finding the model parameters which minimize a measure of the difference between the characterizing functions of the model and the biological system
Keywords :
bioelectric phenomena; neurophysiology; parameter estimation; physiological models; computer-aided parameter estimation; passive electrical properties; signal model; system model; Biological system modeling; Biomedical computing; Current measurement; Frequency measurement; Impedance measurement; Neurons; Parameter estimation; Pulse measurements; System identification; Voltage;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96196
