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Archer, C. and Hochstenbach, M.E. and Hoede, C. and Meinsma, G. and Meijer, H.G.E. and Ali Salah, A. and Stolk, C.C. and Swist, T. and Zyprych, J.
(2008)
Neural spike sorting with spatio-temporal features.
In: Proceedings of the 63rd European Study Group Mathematics with Industry, 28 Jan - 1 Feb 2008, Enschede, The Netherlands.
pp. 21-45.
CWI Syllabi 63.
CWI (Centrum voor Wiskunde en Informatica).
ISBN 978-90-365-2779-8
Full text available as:
Official URL: http://old-www.cwi.nl/publications/cwi_syllabi.html  AbstractThe paper analyses signals that have been measured by brain probes during surgery. First background noise is removed from the signals. The remaining signals are a superposition of spike trains which are subsequently assigned to different families. For this two techniques are used: classic PCA and code vectors. Both techniques confirm that amplitude is the distinguishing feature of spikes. Finally the presence of various types of periodicity in spike trains are examined using correlation and the interval shift histogram. The results allow the development of a visual aid for surgeons.
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