Mascagni MV, Sherman AS. (1998). Numerical methods for neuronal modelling. Methods in Neuronal Modeling From Synapses to Networks, 2nd Edition.

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

Borg-Graham LJ. (2000). Additional efficient computation of branched nerve equations: adaptive time step and ideal voltage clamp. Journal of computational neuroscience. 8 [PubMed]

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

Hines ML, Eichner H, Schürmann F. (2008). Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. Journal of computational neuroscience. 25 [PubMed]

Jiang N, Englehart KB, Parker PA. (2007). A simulation method for the firing sequences of motor units. Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology. 17 [PubMed]

Lindsay KA, Ogden JM, Rosenberg JR. (2002). An investigation into the influence of boundary condition specification in finite difference methods on the behaviour of passive and active neuronal models. Progress in biophysics and molecular biology. 78 [PubMed]

Thomas EA, Reid CA, Petrou S. (2010). Mossy fiber sprouting interacts with sodium channel mutations to increase dentate gyrus excitability. Epilepsia. 51 [PubMed]

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