Creating, documenting and sharing network models

scientific article published on 20 September 2012

Creating, documenting and sharing network models is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.3109/0954898X.2012.722743
P698PubMed publication ID22994683
P5875ResearchGate publication ID230893250

P50authorSteve FurberQ92776
Sacha J van AlbadaQ41044102
Volker SteuberQ42710534
Leslie S. SmithQ55979519
Andrew P DavisonQ57082254
Bruce P GrahamQ59677279
James A. BednarQ102342852
P2093author name stringLars Schwabe
Sandra Berger
Mikael Djurfeldt
Jochen Eppler
Hans E Plesser
Birgit Kriener
Sharon M Crook
Robert Cannon
P2860cites workNeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detailQ21145335
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network modelsQ28212902
The Systems Biology Graphical NotationQ29617466
P433issue4
P304page(s)131-149
P577publication date2012-09-20
P1433published inNetworkQ7000691
P1476titleCreating, documenting and sharing network models
P478volume23

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cites work (P2860)
Q83227824Brian 2, an intuitive and efficient neural simulator
Q38755355Constructing Neuronal Network Models in Massively Parallel Environments
Q35162807Efficient generation of connectivity in neuronal networks from simulator-independent descriptions
Q35097160Equation-oriented specification of neural models for simulations
Q27314008Handling Metadata in a Neurophysiology Laboratory
Q45760019Influence of different types of downscaling on a cortical microcircuit model.
Q26741612Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue
Q55545355Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.
Q35761037Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations
Q38450812morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python

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