Model reduction of strong-weak neurons

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dc.citation.journalTitleFrontiers in Computational Neuroscienceen_US
dc.citation.volumeNumber8en_US
dc.contributor.authorDu, Bosenen_US
dc.contributor.authorSorensen, Dannyen_US
dc.contributor.authorCox, Steven J.en_US
dc.date.accessioned2015-01-08T14:55:03Zen_US
dc.date.available2015-01-08T14:55:03Zen_US
dc.date.issued2014en_US
dc.description.abstractWe consider neurons with large dendritic trees that are weakly excitable in the sense that back propagating action potentials are severly attenuated as they travel from the small, strongly excitable, spike initiation zone. In previous work we have shown that the computational size of weakly excitable cell models may be reduced by two or more orders of magnitude, and that the size of strongly excitable models may be reduced by at least one order of magnitude, without sacrificing the spatio-temporal nature of its inputs (in the sense we reproduce the cell's precise mapping of inputs to outputs). We combine the best of these two strategies via a predictor-corrector decomposition scheme and achieve a drastically reduced highly accurate model of a caricature of the neuron responsible for collision detection in the locust.en_US
dc.identifier.citationDu, Bosen, Sorensen, Danny and Cox, Steven J.. "Model reduction of strong-weak neurons." <i>Frontiers in Computational Neuroscience,</i> 8, (2014) Frontiers Media: http://dx.doi.org/10.3389/fncom.2014.00164.en_US
dc.identifier.doihttp://dx.doi.org/10.3389/fncom.2014.00164en_US
dc.identifier.urihttps://hdl.handle.net/1911/78907en_US
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subject.keywordLGMDen_US
dc.subject.keywordpredictor-correctoren_US
dc.subject.keywordquasi-activeen_US
dc.subject.keywordproper orthogonal decompositionen_US
dc.subject.keyworddiscrete empirical interpolationen_US
dc.titleModel reduction of strong-weak neuronsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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