DocumentCode
3454644
Title
Application of integral function method for analysis of neuronal spike trains
Author
Hataoka, Hiroshi ; Noguchi, Yasuaki ; Suimoto, S.
Author_Institution
Dept. of Appl. Phys., Nat. Defense Acad., Yokosuka, Japan
fYear
1988
fDate
4-7 Nov. 1988
Firstpage
1148
Abstract
An alias-free sampling technique proposed by A.S. French and A.V. Holden (1971) is often applied to the analysis of neuronal spike trains. It is based on the integral pulse frequency modulation model and on a low-pass-filtering technique proposed by E.J. Bayley (1968). The authors recently improved the alias-free sampling technique, but when it was applied to isolated spike trains, its accuracy was not as high. Then, they used an integral function method and confirmed that it has high accuracy, even for isolated spike trains, with respect to the demodulation of the generation function.<>
Keywords
bioelectric potentials; filtering and prediction theory; functions; neural nets; neurophysiology; physiological models; spectral analysis; alias-free sampling technique; generation function demodulation; integral function method; integral pulse frequency modulation model; low-pass-filtering technique; neuronal spike trains;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location
New Orleans, LA, USA
Print_ISBN
0-7803-0785-2
Type
conf
DOI
10.1109/IEMBS.1988.94805
Filename
94805
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