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Computational model
Name
Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
Model File
HHcn
[? bytes]
Notes
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.
Model Neurons
Neocortical pyramidal neuron: deep
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Model Currents
I K
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I Na,t
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Model Receptors
Model Type
Neuron or other electrically excitable cell
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Model Concept
Ion Channel Kinetics
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Methods
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Simplified Models
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Model papers
Linaro D, Storace M, Giugliano M (2011)
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Simulator software
C or C++ program
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Neuron
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Gene
hg folder name (applicable when in ModelDB hg)
Region Organism
Neocortex
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Model ID Number
Gap Junctions
Implemented by
Linaro, Daniele [daniele.linaro at unige.it]
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Public Submitter Email Address
Model Neurotransmitters
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Other Implementer
Linaro, Daniele
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Citation
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Simulation Platform ID
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Other categories referring to "
Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
"
Revisions:
13
Last time:
3/23/2011 11:35:03 AM
Reviewer:
Tom Morse - MoldelDB admin
Owner:
Michele Giugliano
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