Markov Chain-based Stochastic Shielding Hodgkin Huxley Model (Schmandt, Galan 2012)

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Accession:144468

Reference:
1 . Schmandt NT, Galán RF (2012) Stochastic-shielding approximation of Markov chains and its application to efficiently simulate random ion-channel gating. Phys Rev Lett 109:118101 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Hodgkin-Huxley neuron;
Channel(s): I Na,t; I K; I Sodium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Ion Channel Kinetics; Methods;
Implementer(s): Schmandt, Nicolaus [nts21 at case.edu];
Search NeuronDB for information about:  I Na,t; I K; I Sodium; I Potassium;
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stocHHastic_1.1
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HH
QandC
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