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dc.contributor.authorCrook, Sharon M.
dc.contributor.authorBednar, James A.
dc.contributor.authorBerger, Sandra
dc.contributor.authorCannon, Robert
dc.contributor.authorDavison, Andrew P.
dc.contributor.authorDjurfeldt, Mikael
dc.contributor.authorEppler, Jochen
dc.contributor.authorKriener, Birgit
dc.contributor.authorFurber, Steve
dc.contributor.authorGraham, Bruce
dc.contributor.authorPlesser, Hans E.
dc.contributor.authorSchwabe, Lars
dc.contributor.authorSmith, Leslie
dc.contributor.authorSteuber, Volker
dc.contributor.authorvan Albada, Sacha
dc.identifier.citationCrook , S M , Bednar , J A , Berger , S , Cannon , R , Davison , A P , Djurfeldt , M , Eppler , J , Kriener , B , Furber , S , Graham , B , Plesser , H E , Schwabe , L , Smith , L , Steuber , V & van Albada , S 2012 , ' Creating, documenting and sharing network models ' , Network: Computation in Neural Systems , vol. 23 , no. 4 , pp. 131-149 .
dc.identifier.otherPURE: 1043743
dc.identifier.otherPURE UUID: 92393859-52f3-4ade-a019-f762373dd013
dc.identifier.otherPubMed: 22994683
dc.identifier.otherScopus: 84870717766
dc.description.abstractAs computational neuroscience matures, many simulation environments are available that are useful for neuronal network modeling. However, methods for successfully documenting models for publication and for exchanging models and model components among these projects are still under development. Here we briefly review existing software and applications for network model creation, documentation and exchange. Then we discuss a few of the larger issues facing the field of computational neuroscience regarding network modeling and suggest solutions to some of these problems, concentrating in particular on standardized network model terminology, notation, and descriptions and explicit documentation of model scaling. We hope this will enable and encourage computational neuroscientists to share their models more systematically in the future.en
dc.relation.ispartofNetwork: Computation in Neural Systems
dc.titleCreating, documenting and sharing network modelsen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionBiocomputation Research Group
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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