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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 5:96-104 [PubMed]

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 10:287-304 [Journal] [PubMed]
   Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) [Model]
Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD, Silver RA (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol 6:e1000815 [Journal] [PubMed]
Gleeson P, Steuber V, Silver RA (2007) neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron 54:219-35 [Journal] [PubMed]
Parekh R, Ascoli GA (2013) Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 77:1017-38 [Journal] [PubMed]
   Neuronal morphology goes digital ... (Parekh & Ascoli 2013) [Model]
Ray S, Bhalla US (2008) PyMOOSE: Interoperable Scripting in Python for MOOSE. Front Neuroinform 2:6 [Journal] [PubMed]
   Moose/PyMOOSE: interoperable scripting in Python for MOOSE (Ray and Bhalla 2008) [Model]
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