Crook S, Gleeson P, Howell F, Svitak J, Silver RA. (2007). MorphML: level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics. 5 [PubMed]

See more from authors: Crook S · Gleeson P · Howell F · Svitak J · Silver RA

References and models cited by this paper
References and models that cite this paper

Djurfeldt M. (2012). The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics. 10 [PubMed]

Gleeson P et al. (2010). NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS computational biology. 6 [PubMed]

Gleeson P, Steuber V, Silver RA. (2007). neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54 [PubMed]

Gouwens NW, Wilson RI. (2009). Signal propagation in Drosophila central neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Hines ML, Davison AP, Muller E. (2009). NEURON and Python. Frontiers in neuroinformatics. 3 [PubMed]

Lazar AA, Liu T, Turkcan MK, Zhou Y. (2021). Accelerating with FlyBrainLab the discovery of the functional logic of the Drosophila brain in the connectomic and synaptomic era eLife. 10 [PubMed]

Parekh R, Ascoli GA. (2013). Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron. 77 [PubMed]

Ray S, Bhalla US. (2008). PyMOOSE: Interoperable Scripting in Python for MOOSE. Frontiers in neuroinformatics. 2 [PubMed]

Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A. (2008). KInNeSS: a modular framework for computational neuroscience. Neuroinformatics. 6 [PubMed]

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