Conditions of dominant effectiveness of distal dendrites (Korogod, Kulagina 1998)

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Accession:19366
The model illustrates and explains bistable spatial patterns of the current transfer effectiveness in the active dendrite with distributed (multiple) tonic excitatory, NMDA type, synaptic input.
Reference:
1 . Korogod SM, Kulagina IB (1998) Conditions of dominant effectiveness of distal sites of active uniform dendrites with distributed tonic inputs. Neurophysiology 30:310-315
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):
Channel(s):
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Active Dendrites;
Implementer(s): Korogod, Sergey M [Korogod at ff.dsu.dp.ua]; Kulagina, Irina B [Kulagina at ff.dsu.dp.ua]; Kukushka, Valery I [Valery at ff.dsu.dp.ua];
Search NeuronDB for information about:  NMDA;
// Conditions of Dominat Effectiveness of Distal Sites of Active Uniform Dendrites with Distributed Tonic Inputs
// S.M. Korogod, I.B. Kulagina
// Neirofiziologiya/Neurophysiology, Vol.30, Nos.4/5, pp.376-382, July-October, 1998

objectvar GGrapher, EGrapher, JGrapher

// make graphics for Fig.1. A
proc MakeGGrapher() {
  GGrapher = new Grapher(1)
  GGrapher.info("v_init","v_init", "init()", -80, 0, 0, 6, 64, -80, 0)
  GGrapher.g.size(-85,0,0,6)
  GGrapher.g.xexpr("v_init", 0)
  GGrapher.g.addexpr("1000*Dendrite.gnmda_nmda( 0.01 )", 1, 1, 1, 1, 2)
  GGrapher.g.addexpr("1000*Dendrite.g1_nmda( 0.01 )", 3, 1, 1, 1, 2)
  GGrapher.g.label(0.5, 1, "A", 2, 1, 0, 1, 1)
  GGrapher.g.label(0.05, 1, "mS/cm2", 2, 1, 0, 1, 1)
  GGrapher.g.label(0.9, 0.15, "mV", 2, 1, 0, 1, 1)
  GGrapher.g.label(0.7, 0.6, "Gm", 2, 1, 0, 1, 3)
  GGrapher.g.label(0.8, 0.4, "Gnmda", 2, 1, 0, 1, 1)
  GGrapher.g.yaxis(3)
  GGrapher.g.xaxis(-80, 0)
  GGrapher.g.yaxis(0, 6, -80, 6, 0, 0, 1)
  GGrapher.vbox.map("Grapher", 120, 140, 250, 480)
} // MakeGGrapher()

// make graphics for Fig.1. B
proc MakeEGrapher() {
  EGrapher = new Grapher(1)
  EGrapher.info("v_init","v_init", "init()", -80, 0, -70, 0, 64, -80, 0)
  EGrapher.g.size(-85,0,-70,0)
  EGrapher.g.xexpr("v_init", 0)
  EGrapher.g.addexpr("Dendrite.eq_nmda( 0.01 )", 1, 1, 1, 1, 2)
  EGrapher.g.label(0.5, 1, "B", 2, 1, 0, 1, 1)
  EGrapher.g.label(0.05, 1, "mV", 2, 1, 0, 1, 1)
  EGrapher.g.label(0.9, 0.15, "mV", 2, 1, 0, 1, 1)
  EGrapher.g.label(0.5, 0.55, "Eq", 2, 1, 0, 1, 1)
  EGrapher.g.yaxis(3)
  EGrapher.g.xaxis(-80, 0, -70, 4, 0, 0, 1)
  EGrapher.g.yaxis(-70, 0, -80, 7, 0, 0, 1)
  EGrapher.vbox.map("Grapher", 470, 140, 250, 480)
} // MakeEGrapher()

// make graphics for Fig.1. C
proc MakeJGrapher() {
  JGrapher = new Grapher(1)
  JGrapher.info("v_init","v_init", "init()", -80, 0, -40, 10, 64, -80, 0)
  JGrapher.g.size(-85,0,-40,10)
  JGrapher.g.xexpr("v_init", 0)
  JGrapher.g.addexpr("1000*(Dendrite.g1_nmda( 0.01 )*(Dendrite.v(0.01)-Dendrite.eq_nmda(0.01)))", 1, 1, 1, 1, 2)
  JGrapher.g.label(0.5, 1, "C", 2, 1, 0, 1, 1)
  JGrapher.g.label(0.05, 1, "uA/cm2", 2, 1, 0, 1, 1)
  JGrapher.g.label(0.9, 0.15, "mV", 2, 1, 0, 1, 1)
  JGrapher.g.label(0.5, 0.55, "Jm", 2, 1, 0, 1, 1)
  JGrapher.g.yaxis(3)
  JGrapher.g.xaxis(-80, 0, -40, 4, 0, 0, 1)
  JGrapher.g.xaxis(-80, 5, 0, 0, 0, 0, 0)
  JGrapher.g.yaxis(-40, 10, -80, 5, 0, 0, 1)
  JGrapher.vbox.map("Grapher", 820, 140, 250, 480)
} // MakeJGrapher()

proc Destroy() {
  GGrapher.vbox.unmap()
  EGrapher.vbox.unmap()
  JGrapher.vbox.unmap()
  objectvar GGrapher, EGrapher, JGrapher
} // Destroy()

proc MainExec() {
  GetModelTopology()
  OutLine = "access Soma"
  execute1(OutLine)
  MakeGGrapher()
  MakeEGrapher()
  MakeJGrapher()
} // MainExec()

MainExec()

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