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Computational model
NameAccurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
Model File
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NotesWe 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.
Model Neurons
Neocortex layer 5-6 pyramidal cell show other
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Model Currents
I Na,t show other
I K show other
Model Receptors
Model Type
Neuron or other electrically excitable cell show other
Model Concept
Ion Channel Kinetics show other
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Simulator software
NEURON show other
C or C++ program show other
Python show other
Model papers
Linaro D, Storace M, Giugliano M (2011) show other
hg folder name (applicable when in ModelDB hg)
Region Organism
Neocortex show other
Gap Junctions
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Implemented by
Linaro, Daniele [daniele.linaro at] show other
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Model Neurotransmitters
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Other ImplementerLinaro, Daniele
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127992 show other

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Last time:1/2/2015 11:14:08 PM
Reviewer:Robert A McDougal
Owner:Michele Giugliano
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