Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorEndres, D M
dc.contributor.authorOram, M W
dc.contributor.authorSchindelin, J.E.
dc.contributor.authorFoldiak, P
dc.contributor.editorPlatt, J.C.
dc.contributor.editorKoller, D.
dc.contributor.editorSinger, Y.
dc.contributor.editorRoweis, S.
dc.coverage.spatial393-400en
dc.date.accessioned2008-05-12T14:33:02Z
dc.date.available2008-05-12T14:33:02Z
dc.date.issued2008
dc.identifier.citationAdvances in Neural Information Processing Systems 20 393-400 2008en
dc.identifier.otherStAndrews.ResExp.Output.OutputID.24452en
dc.identifier.urihttps://hdl.handle.net/10023/473
dc.identifier.urihttp://books.nips.cc/nips20.html
dc.description.abstractThe peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is usually obtained by binning spike trains, whereas the standard method for the latter is smoothing with a Gaussian kernel. Selection of a bin width or a kernel size is often done in an relatively arbitrary fashion, even though there have been recent attempts to remedy this situation. We develop an exact Bayesian, generative model approach to estimating PSTHs and demonstate its superiority to competing methods. Further advantages of our scheme include automatic complexity control and error bars on its predictions.en
dc.format.extent2541 bytes
dc.format.extent295800 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMIT Pressen
dc.relation.ispartofAdvances in Neural Information Processing Systems 20en
dc.rightsCopyright owner Massachusetts Institute of Technology Press
dc.subjectbioinformaticsen
dc.subjectNeuroscienceen
dc.subjectBayesian methodsen
dc.subjectspiking neuronsen
dc.titleBayesian binning beats approximate alternatives: estimating peri-stimulus time histogramsen
dc.typeJournal articleen
dc.audience.mediatorSchool : Psychologyen
dc.description.versionPostprinten
dc.publicationstatusPublisheden
dc.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record