Diehl S, Henningsson E, Heyden A. (2016). Efficient simulations of tubulin-driven axonal growth. Journal of computational neuroscience. 41 [PubMed]

• Axon growth model (Diehl et al. 2016) [Model]

Graham BP, Lauchlan K, Mclean DR. (2006). Dynamics of outgrowth in a continuum model of neurite elongation. Journal of computational neuroscience. 20 [PubMed]

• Continuum model of tubulin-driven neurite elongation (Graham et al 2006) [Model]

Graham BP, van Ooyen A. (2006). Mathematical modelling and numerical simulation of the morphological development of neurons. BMC neuroscience. 7 Suppl 1 [PubMed]

• Continuum model of tubulin-driven neurite elongation (Graham et al 2006) [Model]
• Compartmental models of growing neurites (Graham and van Ooyen 2004) [Model]

Koene RA et al. (2009). NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies. Neuroinformatics. 7 [PubMed]

• NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014) [Model]

Ostroumov K. (2007). A new stochastic tridimensional model of neonatal rat spinal motoneuron for investigating compartmentalization of neuronal conductances and their influence on firing. Journal of neuroscience methods. 163 [PubMed]

• Stochastic 3D model of neonatal rat spinal motoneuron (Ostroumov 2007) [Model]

Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.

• Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011) [Model]

van Elburg RA. (2011). Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates Journal of theoretical biology. 276 [PubMed]

• Continuous time stochastic model for neurite branching (van Elburg 2011) [Model]