Action potential reconstitution from measured current waveforms (Alle et al. 2009)

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Accession:135838
This NEURON code reconstitutes action potentials in a model of a hippocampal mossy fiber from experimentally measured sodium, potassium and calcium current waveforms as described in Alle et al. (2009).
Reference:
1 . Alle H, Roth A, Geiger JR (2009) Energy-efficient action potentials in hippocampal mossy fibers. Science 325:1405-8 [PubMed]
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): Dentate gyrus granule GLU cell;
Channel(s): I Na,t; I K; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potentials;
Implementer(s): Roth, Arnd ; Alle, Henrik;
Search NeuronDB for information about:  Dentate gyrus granule GLU cell; I Na,t; I K; I Calcium;
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[8]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}
{
xpanel("RunControl", 0)
v_init = -80
xvalue("Init","v_init", 1,"stdinit()", 1, 1 )
xbutton("Init & Run","run()")
xbutton("Stop","stoprun=1")
runStopAt = 2
xvalue("Continue til","runStopAt", 1,"{continuerun(runStopAt) stoprun=1}", 1, 1 )
runStopIn = 0.01
xvalue("Continue for","runStopIn", 1,"{continuerun(t + runStopIn) stoprun=1}", 1, 1 )
xbutton("Single Step","steprun()")
t = 0
xvalue("t","t", 2 )
tstop = 3
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.002
xvalue("dt","dt", 1,"setdt()", 0, 1 )
steps_per_ms = 500
xvalue("Points plotted/ms","steps_per_ms", 1,"setdt()", 0, 1 )
screen_update_invl = 0.01
xvalue("Scrn update invl","screen_update_invl", 1,"", 0, 1 )
realtime = 0
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(0,75)
}
{
save_window_ = new Graph(0)
save_window_.size(-2.98023e-08,3,-80,40)
scene_vector_[2] = save_window_
{save_window_.view(-2.98023e-08, -80, 3, 120, 0, 415, 748, 312)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("mfb[0].v(0.5)", 2, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[1].v(0.5)", 5, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[2].v(0.5)", 4, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[3].v(0.5)", 3, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[4].v(0.5)", 6, 1, 0.8, 0.9, 2)
save_window_.addexpr("axon[0].v(0.02)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new PlotShape(0)
save_window_.size(-10.0001,940,-128.104,128.104)
save_window_.variable("v")
scene_vector_[3] = save_window_
{save_window_.view(-10.0001, -128.104, 950, 256.208, 0, 753, 749, 202)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
{
save_window_ = new Graph(0)
save_window_.size(0,935,-80,40)
scene_vector_[4] = save_window_
{save_window_.view(0, -80, 935, 120, 753, 754, 493, 201)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("v")
axon[0] rvp_.begin(0)
axon[5] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
{
save_window_ = new Graph(0)
save_window_.size(1,2.5,-2.6,1.8)
scene_vector_[5] = save_window_
{save_window_.view(1, -2.6, 1.5, 4.4, 751, 76, 494, 313)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addexpr("mfb[2].ina(0.5)", 2, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[2].ik(0.5)", 3, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[2].ica(0.5)", 4, 1, 0.8, 0.9, 2)
save_window_.addexpr("mfb[2].i_cap(0.5)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(1,2.5,-80,40)
scene_vector_[6] = save_window_
{save_window_.view(1, -80, 1.5, 120, 752, 415, 494, 313)}
graphList[2].append(save_window_)
save_window_.save_name("graphList[2].")
save_window_.addexpr("mfb[2].v(0.5)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(1,2.5,0,1)
scene_vector_[7] = save_window_
{save_window_.view(1, 0, 1.5, 1, 252, 76, 495, 313)}
graphList[3].append(save_window_)
save_window_.save_name("graphList[3].")
save_window_.addexpr("mfb[2].gt_GNa(0.5)", 2, 1, 0.7, 0.9, 2)
save_window_.addexpr("mfb[2].gt_GK(0.5)", 3, 1, 0.7, 0.9, 2)
save_window_.addexpr("mfb[2].gt_GCa(0.5)", 4, 1, 0.7, 0.9, 2)
}
objectvar scene_vector_[1]
{doNotify()}

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