Title :
Passive Neuronal Membrane Parameters: Comparison of Optimization and Peeling Methods
Author :
Aguanno, Aldo D. ; Bardakjian, Berj L. ; Carlen, Peter L.
Author_Institution :
Department of Electrical Engineering, Institute of Biomedical Engineering, University of Toronto, Toronto, Ont., Canada, the Playfair Neuroscience Unit, Toronto Western Hospital, Toronto, Ont. Canada, and the Addiction Research Foundation
Abstract :
The passive membrane properties of neurons allow characterization of neurons. This paper deals with comparison of optimization and peeling methods for passive membrane parameter estimation. Examples using computer-generated test data as well as biological data are used to illustrate the use of these two methods, showing that optimization methods are more accurate than peeling methods.
Keywords :
Biomedical engineering; Biomembranes; Councils; Hospitals; Neurons; Neuroscience; Optimization methods; Parameter estimation; Transient response; Voltage; Animals; Biomedical Engineering; Evoked Potentials; Hippocampus; Male; Neurons; Rats; Rats, Inbred Strains; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1986.325699