DocumentCode
1216798
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
Issue
12
fYear
1986
Firstpage
1188
Lastpage
1196
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;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.1986.325699
Filename
4122231
Link To Document