Conduction in uniform myelinated axons (Moore et al 1978)

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Accession:9851
Examines the relative sensitivity of the velocity of impulse propagation to changes in nodal and internodal parameters.
Reference:
1 . Moore JW, Joyner RW, Brill MH, Waxman SD, Najar-Joa M (1978) Simulations of conduction in uniform myelinated fibers. Relative sensitivity to changes in nodal and internodal parameters. Biophys J 21:147-60 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Axon;
Brain Region(s)/Organism:
Cell Type(s): Myelinated neuron;
Channel(s): I Na,t; I K;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Axonal Action Potentials; Multiple sclerosis;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
Search NeuronDB for information about:  I Na,t; I K;
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moore78
README
cable.hoc
fig2.hoc
fig2.ses
fig3.hoc
fig3.ses
init.hoc
init.ses
mosinit.hoc
                            
load_file("nrngui.hoc")
objectvar save_window_, rvp_
objectvar scene_vector_[4]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}
{
save_window_ = new Graph(0)
save_window_.size(0,2,0.5,2)
scene_vector_[3] = save_window_
{save_window_.view(0, 0.5, 2, 1.5, 693, 26, 410.88, 454.72)}
g = save_window_
save_window_.save_name("g")
save_window_.label(0.093385, 1.13478, "nodal cap", 1, 1, 0, 0, 1)
save_window_.label(1.43083, 1.16524, "axoplasm conduct", 1, 1, 0, 0, 1)
save_window_.label(1.46423, 0.829191, "myelin cap", 1, 1, 0, 0, 1)
save_window_.label(0.314601, 0.129946, "Relative Parameter Value", 2, 1, 0, 0, 1)
save_window_.label(0.0324676, 0.945423, "Relative Conduction Velocity", 2, 1, 0, 0, 1)
save_window_.label(0.0747663, 1.01882, "internode length", 1, 1, 0, 0, 1)
save_window_.label(0.0803738, 0.920021, "nodal area", 1, 1, 0, 0, 1)
save_window_.label(0.37757, 0.775616, "Gbar", 1, 1, 0, 0, 1)
save_window_.label(1.39252, 1.54704, "diameter", 1, 1, 0, 0, 1)
}
objectvar scene_vector_[1]
{doNotify()}

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