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NESTML: a modeling language for spiking neurons

dc.contributor.authorPlotnikov, Dimitri
dc.contributor.authorBlundell, Inga
dc.contributor.authorIppen, Tammo
dc.contributor.authorEppler, Jochen Martin
dc.contributor.authorMorrison, Abigail
dc.contributor.authorRumpe, Bernhard
dc.contributor.editorOberweis, Andreas
dc.contributor.editorReussner, Ralf
dc.date.accessioned2017-06-21T07:40:53Z
dc.date.available2017-06-21T07:40:53Z
dc.date.issued2016
dc.description.abstractBiological nervous systems exhibit astonishing complexity. Neuroscientists aim to capture this complexity by modeling and simulation of biological processes. Often very complex models are necessary to depict the processes, which makes it difficult to create these models. Powerful tools are thus necessary, which enable neuroscientists to express models in a comprehensive and concise way and generate efficient code for digital simulations. Several modeling languages for computational neuroscience have been proposed [Gl10, Ra11]. However, as these languages seek simulator independence they typically only support a subset of the features desired by the modeler. In this article, we present the modular and extensible domain specific language NESTML, which provides neuroscience domain concepts as first-class language constructs and supports domain experts in creating neuron models for the neural simulation tool NEST. NESTML and a set of example models are publically available on GitHub.en
dc.identifier.isbn978-3-88579-648-0
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2016
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-254
dc.titleNESTML: a modeling language for spiking neuronsen
dc.typeText/Conference Paper
gi.citation.endPage108
gi.citation.publisherPlaceBonn
gi.citation.startPage93
gi.conference.date2.-4. März 2016
gi.conference.locationKarlsruhe

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