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Data
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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.
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Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell Show
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Neocortex U1 L5B pyramidal pyramidal tract GLU cell Show
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Neuron or other electrically excitable cell Show
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Linaro D, Storace M, Giugliano M (2011) Show
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Linaro, Daniele [daniele.linaro at unige.it] Show
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Linaro, Daniele
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