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dc.contributor.authorMoujahid, Abdelmalik
dc.contributor.authorD’Anjou, Alicia
dc.contributor.authorGraña Romay, Manuel María
dc.date.accessioned2016-02-01T14:52:02Z
dc.date.available2016-02-01T14:52:02Z
dc.date.issued2014-04-08
dc.identifier.citationFrontiers in computational neuroscience 8 : (2014) // Article ID 41es
dc.identifier.issn1662-5188
dc.identifier.urihttp://hdl.handle.net/10810/17166
dc.description.abstractIt has long been known that neurons in the brain are not physiologically homogeneous. In response to current stimulus, they can fire several distinct patterns of action potentials that are associated with different physiological classes ranging from regular-spiking cells, fast-spiking cells, intrinsically bursting cells, and low-threshold cells. In this work we show that the high degree of variability in firing characteristics of action potentials among these cells is accompanied with a significant variability in the energy demands required to restore the concentration gradients after an action potential. The values of the metabolic energy were calculated for a wide range of cell temperatures and stimulus intensities following two different approaches. The first one is based on the amount of Na+ load crossing the membrane during a single action potential, while the second one focuses on the electrochemical energy functions deduced from the dynamics of the computational neuron models. The results show that the thalamocortical relay neuron is the most energy-efficient cell consuming between 7 and 18 nJ/cm(2) for each spike generated, while both the regular and fast spiking cells from somatosensory cortex and the intrinsically-bursting cell from a cat visual cortex are the least energy-efficient, and can consume up to 100 nJ/cm(2) per spike. The lowest values of these energy demands were achieved at higher temperatures and high external stimuli.es
dc.description.sponsorshipAuthors received support from UFI11/07 of the UPV/EHU, SandS project EU grant agreement 317947, MECCO projects TIN2011-28753-C02-02, TIN2011-23823, which are partially funded by FEDER.es
dc.language.isoenges
dc.publisherFrontiers Research Foundationes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectcomputational modelses
dc.subjectaction potentiales
dc.subjectneuron metabolic energyes
dc.subjectsodium entryes
dc.subjectoverlap loades
dc.subjectmetabolic efficiencyes
dc.subjectaction-potentialses
dc.subjectbraines
dc.subjectinhibitiones
dc.subjectcostes
dc.subjectmodeles
dc.subjectATPes
dc.titleEnergy demands of diverse spiking cells from the neocortex, hippocampus, and thalamuses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder©2014Moujahid,D’AnjouandGraña.Thisisanopen-accessarticle distributedunderthetermsoftheCreativeCommonsAttributionLicense(CCBY). The use,distributionorreproductioninotherforumsispermitted,providedthe originalauthor(s)orlicensorarecreditedandthattheoriginalpublicationinthis journaliscited,inaccordancewithacceptedacademicpractice.Nouse,distributionor reproductionispermittedwhichdoesnotcomplywiththeseterms.es
dc.relation.publisherversionhttp://journal.frontiersin.org/article/10.3389/fncom.2014.00041/full#h1es
dc.identifier.doi10.3389/fncom.2014.00041
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES
dc.subject.categoriaCELLULAR AND MOLECULAR NEUROSCIENCE
dc.subject.categoriaNEUROSCIENCES


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