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• Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015) [Model]

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• Phenomenological models of NaV1.5: Hodgkin-Huxley and kinetic formalisms (Andreozzi et al 2019) [Model]

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• A single kinetic model for all human voltage-gated sodium channels (Balbi et al, 2017) [Model]

Cannon RC, O'Donnell C, Nolan MF. (2010). Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes. PLoS computational biology. 6 [PubMed]

• Stochastic ion channels and neuronal morphology (Cannon et al. 2010) [Model]

Dudman JT, Nolan MF. (2009). Stochastically gating ion channels enable patterned spike firing through activity-dependent modulation of spike probability. PLoS computational biology. 5 [PubMed]

Gurkiewicz M, Korngreen A. (2007). A numerical approach to ion channel modelling using whole-cell voltage-clamp recordings and a genetic algorithm. PLoS computational biology. 3 [PubMed]

• Ion channel modeling with whole cell and a genetic algorithm (Gurkiewicz and Korngreen 2007) [Model]

Menon V, Spruston N, Kath WL. (2009). A state-mutating genetic algorithm to design ion-channel models. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

• Hippocampus CA1 pyramidal model with Na channel exhibiting slow inactivation (Menon et al. 2009) [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]