High frequency oscillations induced in three gap-junction coupled neurons (Tseng et al. 2008)

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Accession:114735
Here we showed experimentally that high frequency oscillations (up to 600 Hz) were easily induced in a purely gap-junction coupled network by simple two stimuli with very short interval. The root cause is that the second elicited spike suffered from slow propagation speed and failure to transmit through a low-conductance junction. Similiar results were also obtained in these simulation.
Reference:
1 . Tseng SH, Tsai LY, Yeh SR (2008) Induction of high-frequency oscillations in a junction-coupled network. J Neurosci 28:7165-73 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Axon;
Brain Region(s)/Organism:
Cell Type(s): Hodgkin-Huxley neuron;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Axonal Action Potentials; Action Potentials; Delay; Conduction failure;
Implementer(s): Tseng, Shin-Hua ;
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HFO
ReadMe.html
gap.mod
HFO_model.hoc
mosinit.hoc
screenshot.jpg
simulation.ses
slide.jpg
                            
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objectvar save_window_, rvp_
objectvar scene_vector_[3]
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 = -65
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xbutton("Init & Run","run()")
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runStopIn = 1
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xbutton("Single Step","steprun()")
t = 20
xvalue("t","t", 2 )
tstop = 20
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.001
xvalue("dt","dt", 1,"setdt()", 0, 1 )
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xvalue("Points plotted/ms","steps_per_ms", 1,"setdt()", 0, 1 )
screen_update_invl = 0.05
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realtime = 5.79
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(16,153)
}
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save_window_ = new Graph(0)
save_window_.size(0,20,-80,40)
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{save_window_.view(0, -80, 20, 120, 326, 150, 755.1, 405.1)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addvar("neuron[0].v( 0.00485437 )", 1, 1, 0.8, 0.9, 2)
save_window_.addexpr("neuron[1].v( 0.00485437 )", 2, 1, 0.8, 0.9, 2)
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objectvar scene_vector_[1]
{doNotify()}