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
Link To Document :
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