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dc.contributor.authorTorben-Nielsen, Ben
dc.contributor.authorStiefel, Klaus M.
dc.date.accessioned2016-03-08T11:43:36Z
dc.date.available2016-03-08T11:43:36Z
dc.date.issued2010
dc.identifier.citationTorben-Nielsen , B & Stiefel , K M 2010 , ' An inverse approach for elucidating dendritic function ' , Frontiers in Computational Neuroscience , vol. 4 , 128 . https://doi.org/10.3389/fncom.2010.00128
dc.identifier.issn1662-5188
dc.identifier.otherPURE: 9331117
dc.identifier.otherPURE UUID: b417c318-b3c1-4e04-9e0e-aa96603888c5
dc.identifier.otherPubMed: 21258425
dc.identifier.otherScopus: 84867015528
dc.identifier.urihttp://hdl.handle.net/2299/16739
dc.description© 2010 Torben-Nielsen and Stiefel. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited
dc.description.abstractWe outline an inverse approach for investigating dendritic function-structure relationships by optimizing dendritic trees for a priori chosen computational functions. The inverse approach can be applied in two different ways. First, we can use it as a "hypothesis generator" in which we optimize dendrites for a function of general interest. The optimization yields an artificial dendrite that is subsequently compared to real neurons. This comparison potentially allows us to propose hypotheses about the function of real neurons. In this way, we investigated dendrites that optimally perform input-order detection. Second, we can use it as a "function confirmation" by optimizing dendrites for functions hypothesized to be performed by classes of neurons. If the optimized, artificial, dendrites resemble the dendrites of real neurons the artificial dendrites corroborate the hypothesized function of the real neuron. Moreover, properties of the artificial dendrites can lead to predictions about yet unmeasured properties. In this way, we investigated wide-field motion integration performed by the VS cells of the fly visual system. In outlining the inverse approach and two applications, we also elaborate on the nature of dendritic function. We furthermore discuss the role of optimality in assigning functions to dendrites and point out interesting future directionsen
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofFrontiers in Computational Neuroscience
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleAn inverse approach for elucidating dendritic functionen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Published version
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.3389/fncom.2010.00128
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


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