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dc.contributor.authorHOUGHTON, CONOR JAMES
dc.date.accessioned2009-08-31T11:16:50Z
dc.date.available2009-08-31T11:16:50Z
dc.date.issued2009
dc.date.submitted2009en
dc.identifier.citationConor Houghton 'A comment on "A fast L_p spike alignment metric" by A. J. Dubbs, B. A. Seiler and M. O. Magnasco' [arXiv:0907.3137], 2009en
dc.identifier.otherNen
dc.identifier.otherN
dc.identifier.urihttp://hdl.handle.net/2262/31927
dc.descriptionPUBLISHEDen
dc.description.abstractMeasuring the transmitted information in metric-based clustering has become something of a standard test for the performance of a spike train metric. In this comment, the recently proposed L_p Victor-Purpura metric is used to cluster spiking responses to zebra finch songs, recorded from field L of anesthetized zebra finch. It is found that for these data the L_p metrics with p>1 modestly outperform the standard, p=1, Victor-Purpura metric. It is argued that this is because for larger values of p, the metric comes closer to performing windowed coincidence detection.en
dc.format.extent117081 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsYen
dc.subjectPure & Applied Mathematicsen
dc.titleA comment on "A fast L_p spike alignment metric" by A. J. Dubbs, B. A. Seiler and M. O. Magnasco [arXiv:0907.3137]en
dc.typeWorking Paperen
dc.typeWorking Paperen
dc.contributor.sponsorScience Foundation Ireland
dc.type.supercollectionscholarly_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/houghtcj


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