?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F266%2F&rft.title=Neural+spike+sorting+with+spatio-temporal+features&rft.creator=Archer%2C+Claude&rft.creator=Hochstenbach%2C+Michiel&rft.creator=Hoede%2C+Kees&rft.creator=Meinsma%2C+Gjerrit&rft.creator=Meijer%2C+Hil&rft.creator=Ali+Salah%2C+Albert&rft.creator=Stolk%2C+Chris&rft.creator=Swist%2C+Tomasz&rft.creator=Zyprych%2C+Joanna&rft.subject=Medical+and+pharmaceutical&rft.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%3A+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.&rft.date=2008&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F266%2F1%2Fphilips_amc.pdf&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F266%2F2%2Fphilips_ams-report.pdf&rft.identifier=++Archer%2C+Claude+and+Hochstenbach%2C+Michiel+and+Hoede%2C+Kees+and+Meinsma%2C+Gjerrit+and+Meijer%2C+Hil+and+Ali+Salah%2C+Albert+and+Stolk%2C+Chris+and+Swist%2C+Tomasz+and+Zyprych%2C+Joanna++(2008)+Neural+spike+sorting+with+spatio-temporal+features.++%5BStudy+Group+Report%5D+++++