relation: http://miis.maths.ox.ac.uk/miis/266/
title: Neural spike sorting with spatio-temporal features
creator: Archer, Claude
creator: Hochstenbach, Michiel
creator: Hoede, Kees
creator: Meinsma, Gjerrit
creator: Meijer, Hil
creator: Ali Salah, Albert
creator: Stolk, Chris
creator: Swist, Tomasz
creator: Zyprych, Joanna
subject: Medical and pharmaceutical
description: 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.
date: 2008
type: Study Group Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/266/1/philips_amc.pdf
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/266/2/philips_ams-report.pdf
identifier:   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]