id,collection,dc.contributor.author,dc.date.accessioned,dc.date.available,dc.date.issued,dc.description.abstract[de],dc.format.extent,dc.identifier.uri,dc.language,dc.relation.ispartofseries,dc.rights.uri,dc.subject.ddc,dc.title,dc.title.subtitle,dc.type,dcterms.accessRights.openaire,refubium.affiliation.other,refubium.affiliation[de],refubium.mycore.derivateId,refubium.mycore.fudocsId,refubium.resourceType.isindependentpub,refubium.series.issueNumber,refubium.series.name "bce2ec8d-e437-43b1-aa7b-8f8f92b5a0a0","fub188/17677","Kroupina, Olga","2018-06-08T07:53:10Z","2010-07-01T11:33:44.744Z","2003","Neuroscientists use computer simulations of neural systems in their efforts to understand processes that underlie neural function. As experimental data in- crease, it becomes clear that detailed physiological data alone are not enough to infer how neural circuits work. Experimentalists appear to be recogniz- ing the need for a quantitative approach to the exploration of the functional consequences of particular neural features, which is provided by modelling. The number of computer simulation programs is designed as a tool for de- velopment and simulation of realistic models of single neurons and neural networks. The present available packages for modelling of biological neural networks are often dedicated Unix-based simulation packages, which require rather large computational power from workstations, typically Unix systems. The widely distributed packages, as Genesis [8] and Neuron [4], have their own interpreted scripting language, in which users define components and run- ning parameters for their simulations. In the hands of experienced users with access to a compatible computer system, these modelling packages are powerful research tools. However, they do suffer several drawbacks for non- expert users: they don't provide a Graphical User Interface (GUI) or have a very simple one, and as a result of it they can't visually represent the simula- tion process. Also, the formal structure of the language is difficult and time consuming to learn; at least initial knowledge and skills about Unix system are necessary for users.","8 S.","https://refubium.fu-berlin.de/handle/fub188/18924||http://dx.doi.org/10.17169/refubium-22604","eng","urn:nbn:de:kobv:188-fudocsseries000000000073-8","http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen","000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::006 Spezielle Computerverfahren","NeuroSim","neuronal simulation system of biological neural networks","Konferenzveröffentlichung","open access","Institut für Informatik:::6dd1f8be-8a6d-4a4a-8f8d-572eb83788da:::0","Mathematik und Informatik","FUDOCS_derivate_000000000999","FUDOCS_document_000000005886","no","16","Doktorandenworkshop des Instituts für Informatik der Freien Universität Berlin"