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Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)
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Model Information
Model File
Citations
Accession:
118020
" ... We introduce a combined numerical and analytical technique that aids the identification of structure in a class of systems of nonlinear ordinary differential equations (ODEs) that are commonly applied in dynamical models of physical processes. ... These methods have been incorporated into a new software tool named Dssrt, which we demonstrate on a limit cycle of a synaptically driven Hodgkin–Huxley neuron model."
Reference:
1 .
Clewley R, Rotstein HG, Kopell N (2005) A Computational Tool for the Reduction of Nonlinear ODE Systems Possessing Multiple Scales
Multiscale modeling & simulation
4(3)
:732-759
Model Information
(Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Hodgkin-Huxley neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB (web link to model);
XPP (web link to model);
Model Concept(s):
Methods;
Bifurcation;
Multiscale;
Implementer(s):
Clewley, Robert [rclewley at gsu.edu];
(located via links below)
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