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Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
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We introduce and operatively present a general method to simulate channel noise in conductance-based model neurons, with modest computational overheads. Our approach may be considered as an accurate generalization of previous proposal methods, to the case of voltage-, ion-, and ligand-gated channels with arbitrary complexity. We focus on the discrete Markov process descriptions, routinely employed in experimental identification of voltage-gated channels and synaptic receptors.
Linaro D, Storace M, Giugliano M (2011) Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation.
PLoS Comput Biol
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Neuron or other electrically excitable cell;
Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell;
Neocortex U1 L5B pyramidal pyramidal tract GLU cell;
C or C++ program;
Ion Channel Kinetics;
Linaro, Daniele [daniele.linaro at unige.it];
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Neocortex U1 L5B pyramidal pyramidal tract GLU cell
Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell
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