Spinal Motor Neuron (Dodge, Cooley 1973)

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"The excitability of various regions of the spinal motorneuron can be specified by solving the partial differential equation of a nerve fiber whose diameter and membrane properties vary with distance. For our model geometrical factors for the myelinated axon, initial segment and cell body were derived from anatomical measurements, the dendritic tree was represented by its equivalent cylinder, and the current-voltage relations of the membrane were described by a modification of the Hodgkin-Huxley model that fits voltage-clamp data from the motorneuron. ..."
1 . Dodge FA, Cooley JW (1973) Action Potential of the Motorneuron. IBM J Res Dev 17:219-29
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): Spinal cord lumbar motor neuron alpha ACh cell; Myelinated neuron;
Channel(s): I Na,t; I K;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Active Dendrites; Tutorial/Teaching; Axonal Action Potentials; Action Potentials;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
Search NeuronDB for information about:  Spinal cord lumbar motor neuron alpha ACh cell; I Na,t; I K;
load_file(1, "fig6.ses")

shift = -10
Graph[0].exec_menu("Keep Lines")

// get slightly more similar results if we adjust the leakage so
// that we start in precise steady state at v=0 everywhere

proc init() {
	forall {
		el_dc = (ina + ik)/gl_dc + v

for case(&shift, 10, 5, 0, -5) {
	soma {
		shift_dc = -shift
Graph[0].exec_menu("Keep Lines")

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