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dc.contributor.authorEinevoll, Gaute T.
dc.contributor.authorDestexhe, Alain
dc.contributor.authorDiesmann, Markus
dc.contributor.authorGrün, Sonja
dc.contributor.authorJirsa, Viktor
dc.contributor.authorde Kamps, Marc
dc.contributor.authorMigliore, Michele
dc.contributor.authorNess, Torbjørn V.
dc.contributor.authorPlesser, Hans E.
dc.contributor.authorSchürmann, Felix
dc.date.accessioned2020-05-15T09:23:34Z
dc.date.available2020-05-15T09:23:34Z
dc.date.issued2019-05-22
dc.identifier.urihttps://hdl.handle.net/11250/2654608
dc.description.abstractA key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research pro- jects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging the scales between the neuron and system levels in the brain, and why a set of brain simulators based on neuron models at different levels of biological detail should therefore be developed. To allow for systematic refinement of candidate network models by comparison with experiments, the simulations should be multimodal in the sense that they should predict not only action potentials, but also electric, magnetic, and optical signals measured at the population and system levels.en_US
dc.language.isoengen_US
dc.publisherCellPressen_US
dc.titleThe Scientific Case for Brain Simulationsen_US
dc.typeJournal articleen_US
dc.subject.nsiNevrovitenskapen_US
dc.source.pagenumber735-744en_US
dc.source.volume102en_US
dc.source.journalNeuronen_US
dc.source.issue4en_US
dc.identifier.doi10.1016/j.neuron.2019.03.027
dc.relation.projectEU/FP7/720270en_US
dc.relation.projectEU/FP7/785907en_US
dc.relation.projectNorges forskningsråd: 248828en_US
dc.relation.projectNorges forskningsråd: 250128en_US


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