000901913 001__ 901913 000901913 005__ 20240313103120.0 000901913 0247_ $$2doi$$a10.1101/2021.06.15.444791 000901913 0247_ $$2Handle$$a2128/28912 000901913 0247_ $$2altmetric$$aaltmetric:107745916 000901913 037__ $$aFZJ-2021-03900 000901913 1001_ $$0P:(DE-Juel1)188319$$aSpreizer, Sebastian$$b0$$eCorresponding author$$ufzj 000901913 245__ $$aNEST Desktop - An educational application for neuroscience 000901913 260__ $$c2021 000901913 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1636123585_19278 000901913 3367_ $$2ORCID$$aWORKING_PAPER 000901913 3367_ $$028$$2EndNote$$aElectronic Article 000901913 3367_ $$2DRIVER$$apreprint 000901913 3367_ $$2BibTeX$$aARTICLE 000901913 3367_ $$2DataCite$$aOutput Types/Working Paper 000901913 520__ $$aSimulation software for spiking neuronal network models matured in the past decades regarding performance and flexibility. But the entry barrier remains high for students and early career scientists in computational neuroscience since these simulators typically require programming skills and a complex installation. Here, we describe an installation-free Graphical User Interface (GUI) running in the web browser, which is distinct from the simulation engine running anywhere, on the student’s laptop or on a supercomputer. This architecture provides robustness against technological changes in the software stack and simplifies deployment for self-education and for teachers. Our new open source tool, NEST Desktop, comprises graphical elements for creating and configuring network models, running simulations, and visualizing and analyzing the results. NEST Desktop allows students to explore important concepts in computational neuroscience without the need to learn a simulator control language before. Our experiences so far highlight that NEST Desktop helps advancing both quality and intensity of teaching in computational neuroscience in regular university courses. We view the availability of the tool on public resources like the European ICT infrastructure for neuroscience EBRAINS as a contribution to equal opportunities. 000901913 536__ $$0G:(DE-HGF)POF4-5231$$a5231 - Neuroscientific Foundations (POF4-523)$$cPOF4-523$$fPOF IV$$x0 000901913 536__ $$0G:(DE-HGF)POF4-5235$$a5235 - Digitization of Neuroscience and User-Community Building (POF4-523)$$cPOF4-523$$fPOF IV$$x1 000901913 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x2 000901913 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x3 000901913 536__ $$0G:(DE-HGF)SO-092$$aACA - Advanced Computing Architectures (SO-092)$$cSO-092$$x4 000901913 536__ $$0G:(GEPRIS)194657344$$aEXC 1086: BrainLinks-BrainTools (194657344)$$c194657344$$x5 000901913 536__ $$0G:(DE-Juel1)PHD-NO-GRANT-20170405$$aPhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)$$cPHD-NO-GRANT-20170405$$x6 000901913 588__ $$aDataset connected to CrossRef 000901913 7001_ $$0P:(DE-Juel1)162130$$aSenk, Johanna$$b1 000901913 7001_ $$00000-0003-3534-6530$$aRotter, Stefan$$b2 000901913 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b3 000901913 7001_ $$00000-0003-4785-708X$$aWeyers, Benjamin$$b4 000901913 773__ $$a10.1101/2021.06.15.444791 000901913 8564_ $$uhttps://juser.fz-juelich.de/record/901913/files/2021.06.15.444791v1.full.pdf$$yOpenAccess 000901913 909CO $$ooai:juser.fz-juelich.de:901913$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire 000901913 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188319$$aForschungszentrum Jülich$$b0$$kFZJ 000901913 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)162130$$aForschungszentrum Jülich$$b1$$kFZJ 000901913 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144174$$aForschungszentrum Jülich$$b3$$kFZJ 000901913 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5231$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0 000901913 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5235$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x1 000901913 9141_ $$y2021 000901913 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000901913 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 000901913 920__ $$lno 000901913 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0 000901913 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x1 000901913 9201_ $$0I:(DE-Juel1)INM-10-20170113$$kINM-10$$lJara-Institut Brain structure-function relationships$$x2 000901913 9801_ $$aFullTexts 000901913 980__ $$apreprint 000901913 980__ $$aVDB 000901913 980__ $$aUNRESTRICTED 000901913 980__ $$aI:(DE-Juel1)INM-6-20090406 000901913 980__ $$aI:(DE-Juel1)IAS-6-20130828 000901913 980__ $$aI:(DE-Juel1)INM-10-20170113 000901913 981__ $$aI:(DE-Juel1)IAS-6-20130828