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Zubler F, Douglas R (2009) A framework for modeling the growth and development of neurons and networks. Front Comput Neurosci 3:25 [PubMed]

References and models cited by this paper

References and models that cite this paper

Borisyuk R, Al Azad AK, Conte D, Roberts A, Soffe SR (2014) A developmental approach to predicting neuronal connectivity from small biological datasets: a gradient-based neuron growth model. PLoS One 9:e89461 [Journal] [PubMed]
   Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014) [Model]
Ferrario A, Merrison-Hort R, Soffe SR, Borisyuk R (2018) Structural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network. Elife [Journal] [PubMed]
   Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014) [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]
Migliore M, Cavarretta F, Hines ML, Shepherd GM (2014) Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb. Front Comput Neurosci 8:50 [Journal] [PubMed]
   3D model of the olfactory bulb (Migliore et al. 2014) [Model]
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]
van Elburg R (2011) Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates Journal of Theoretical Biology 276(1):159-173 [Journal]
   Continuous time stochastic model for neurite branching (van Elburg 2011) [Model]
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