Spike separation in multiunit records: a multivariate analysis of spike descriptive parameters

Electroencephalography and Clinical Neurophysiology
J F Vibert, J Costa

Abstract

Variables describing unit discharges from multiunit extracellular records were treated, using multivariate statistical analysis for further automatic spike separation. A spike was described by 8 parameters (3 amplitude values, 3 time values and 2 slopes). These 8 parameters were summarized by 2 new independent factors, the principal components (PC). Examination of the 2 PCs from each spike allowed the observer to determine PC families corresponding to spike populations. From these the spikes were automatically classified. PC analysis showed groups of redundant parameters. Elimination of redundancy decreased the computing time without lowering the separation efficiency of the method. Three parameters turned out to be sufficient for spike discrimination: the maximum and the minimum amplitudes and the time between these. This agrees well with the physical basis of current propagation in the conducting medium, from the firing neurone to the recording electrode.

References

Feb 1, 1978·Electroencephalography and Clinical Neurophysiology·R J Radna, W J Vaughn
Oct 1, 1976·Computers and Biomedical Research, an International Journal·G W Harding, A L Towe
Nov 1, 1976·Medical & Biological Engineering·P ZaludI Krekule
Dec 1, 1971·Electroencephalography and Clinical Neurophysiology·E W Kent
Dec 1, 1971·Electroencephalography and Clinical Neurophysiology·R G Dyer, P Beechey
Jan 1, 1973·Electroencephalography and Clinical Neurophysiology·V J Prochazka, H H Kornhuber
Jan 1, 1973·Electroencephalography and Clinical Neurophysiology·W H Calvin
Apr 1, 1970·IEEE Transactions on Bio-medical Engineering·D J Mishelevich
Sep 1, 1970·Medical & Biological Engineering·N Holmer
Jan 1, 1969·Medical & Biological Engineering·A Strickholm, S Winston
Feb 1, 1965·Electroencephalography and Clinical Neurophysiology·W SIMON
Mar 1, 1962·Biophysical Journal·W RALL

Citations

Jan 1, 1988·Biological cybernetics·S ReinisJ P Landolt
Sep 1, 1991·Neuroscience and Behavioral Physiology·G K Merzhanova, I Porada
Jan 1, 1986·Medical & Biological Engineering & Computing·J Costa, J F Vibert
Jul 1, 1987·Medical & Biological Engineering & Computing·J F VibertJ Costa
Nov 1, 1983·Electroencephalography and Clinical Neurophysiology·R S Remmel
Oct 1, 1984·Electroencephalography and Clinical Neurophysiology·L DétáriT Kukorelli
Dec 1, 1984·Journal of Neuroscience Methods·E M Schmidt
Aug 1, 1989·Journal of Neuroscience Methods·A F Kohn
Aug 1, 1990·Journal of Neuroscience Methods·J H Cocatre-Zilgien, F Delcomyn
Feb 1, 1990·Journal of Neuroscience Methods·C Forster, H O Handwerker
Mar 1, 1991·Journal of Neuroscience Methods·F Marion-Poll, T R Tobin
Jul 1, 1996·Neural Networks : the Official Journal of the International Neural Network Society·Noureddine AzmyKhashayar Pakdaman
May 1, 1999·Journal of Neuroscience Methods·P J Rousche, R A Normann
May 1, 1999·Journal of Neuroscience Methods·P GarcíaM Rodríguez
Jul 10, 1999·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·G Hellmann
Dec 1, 1981·IEEE Transactions on Bio-medical Engineering·G J Dinning, A C Sanderson
Dec 28, 2002·Acta Biologica Hungarica·B FarkasL Détári
Mar 1, 1992·IEEE Transactions on Bio-medical Engineering·E V Goodall, K W Horch
May 6, 2017·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Julien RousselOlivier Buttelli

Related Concepts

Related Feeds

Anxiety Disorders

Discover the latest research on anxiety disorders including agoraphobia, panic disorder, obsessive-compulsive disorder, and post-traumatic stress disorder here.

Related Papers

Journal of Neuroscience Methods
R J WeinbergP C Schwindt
Medical & Biological Engineering & Computing
R Kaplan, O Ozdamar
Electroencephalography and Clinical Neurophysiology
J De VriesC D Binnie
© 2021 Meta ULC. All rights reserved