Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)


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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];
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