DocumentCode :
3513323
Title :
Classifying neuronal spikes from multiunit recording by using a multisite electrode
Author :
Kaneko, Hidekazu ; Suzuki, Shinya ; Okada, Jiro ; Akamatsu, Motoyuki
Author_Institution :
Nat. Inst. of Biosci. & Human Technol., Ibaraki, Japan
Volume :
4
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
1500
Abstract :
A method of classifying neuronal spikes was proposed and achieved by multiunit recording using a multisite electrode and by considering spatial damping vectors. The method consists of three procedures, i.e., separation of overlapping spikes, treatment of burst spikes, and clustering by a multi-dimensional statistical test. The first and second procedures clarify the border between clusters and the last procedure validates the classification statistically. By using this method, multiple neuronal spikes were automatically classified and the waveforms of the spikes in each class were well superimposed. The authors concluded that this method is superior to other methods of classifying neuronal spikes
Keywords :
bioelectric potentials; electrodes; medical signal processing; neurophysiology; burst spikes; clustering; extracellular microelectrode recordings; multidimensional statistical test; multisite electrode; multiunit recording; neuronal spikes classification; overlapping spikes separation; statistical validation; Damping; Electrodes; Extracellular; Frequency; Microelectrodes; Neurons; Samarium; Sampling methods; Testing; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.647522
Filename :
647522
Link To Document :
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