The MIIS Eprints Archive

Neural spike sorting with spatio-temporal features

Archer, Claude and Hochstenbach, Michiel and Hoede, Kees and Meinsma, Gjerrit and Meijer, Hil and Ali Salah, Albert and Stolk, Chris and Swist, Tomasz and Zyprych, Joanna (2008) Neural spike sorting with spatio-temporal features. [Study Group Report]



The 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.

Item Type:Study Group Report
Problem Sectors:Medical and pharmaceutical
Study Groups:European Study Group with Industry > ESGI 63 (Twente, Netherlands, Jan 28-Feb 1, 2008) (SWI 2008)
Company Name:Philips amc
ID Code:266
Deposited By: Dr Kamel Bentahar
Deposited On:09 Nov 2009 19:12
Last Modified:29 May 2015 19:52

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