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dc.contributor.authorLaudanski, Jonathan
dc.contributor.authorTorben-Nielsen, Ben
dc.contributor.authorSegev, Idan
dc.contributor.authorShamma, Shihab
dc.date.accessioned2016-03-08T11:43:25Z
dc.date.available2016-03-08T11:43:25Z
dc.date.issued2014-08
dc.identifier.citationLaudanski , J , Torben-Nielsen , B , Segev , I & Shamma , S 2014 , ' Spatially distributed dendritic resonance selectively filters synaptic input ' , PLoS Computational Biology , vol. 10 , no. 8 , e1003775 . https://doi.org/10.1371/journal.pcbi.1003775
dc.identifier.issn1553-734X
dc.identifier.otherPURE: 9330919
dc.identifier.otherPURE UUID: cf818019-503f-4e0f-917a-eeba441a0ad0
dc.identifier.otherPubMed: 25144440
dc.identifier.otherScopus: 84920987374
dc.identifier.urihttp://hdl.handle.net/2299/16735
dc.description© 2014 Laudanski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractAn important task performed by a neuron is the selection of relevant inputs from among thousands of synapses impinging on the dendritic tree. Synaptic plasticity enables this by strenghtening a subset of synapses that are, presumably, functionally relevant to the neuron. A different selection mechanism exploits the resonance of the dendritic membranes to preferentially filter synaptic inputs based on their temporal rates. A widely held view is that a neuron has one resonant frequency and thus can pass through one rate. Here we demonstrate through mathematical analyses and numerical simulations that dendritic resonance is inevitably a spatially distributed property; and therefore the resonance frequency varies along the dendrites, and thus endows neurons with a powerful spatiotemporal selection mechanism that is sensitive both to the dendritic location and the temporal structure of the incoming synaptic inputs.en
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofPLoS Computational Biology
dc.rightsOpen
dc.subjectComputational Biology
dc.subjectDendrites
dc.subjectIon Channels
dc.subjectModels, Neurological
dc.subjectNeuronal Plasticity
dc.subjectNeurons
dc.subjectSynapses
dc.titleSpatially distributed dendritic resonance selectively filters synaptic inputen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2014-08
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1371/journal.pcbi.1003775
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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