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Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
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" ... Here we review and test a set of the most recently published DA (Langevin-based Diffusion Approximation) implementations (Goldwyn et al., 2011; Linaro et al., 2011; Dangerfield et al., 2012; Orio and Soudry, 2012; Schmandt and Galán, 2012; Güler, 2013; Huang et al., 2013a), comparing all of them in a set of numerical simulations that asses numerical accuracy and computational efficiency on three different models: the original Hodgkin and Huxley model, a model with faster sodium channels, and a multi-compartmental model inspired in granular cells. ..."
Pezo D, Soudry D, Orio P (2014) Diffusion approximation-based simulation of stochastic ion channels: which method to use?
Front Comput Neurosci
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Neuron or other electrically excitable cell;
Dentate gyrus granule GLU cell;
Orio, Patricio [patricio.orio at uv.cl];
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Dentate gyrus granule GLU cell
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