Thalamic neuron: Modeling rhythmic neuronal activity (Meuth et al. 2005)

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Accession:121600
The authors use an in vitro cell model of a single acutely isolated thalamic neuron in the NEURON simulation environment to address and discuss questions in an undergraduate course. Topics covered include passive electrical properties, composition of action potentials, trains of action potentials, multicompartment modeling, and research topics. The paper includes detailed instructions on how to run the simulations in the appendix.
Reference:
1 . Meuth P, Meuth SG, Jacobi D, Broicher T, Pape HC, Budde T (2005) Get the rhythm: modeling neuronal activity. J Undergrad Neurosci Educ 4:A1-A11 [PubMed]
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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): Thalamus geniculate nucleus/lateral principal GLU cell;
Channel(s): I Na,t; I L high threshold; I T low threshold; I A; I K; I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Bursting; Tutorial/Teaching; Action Potentials;
Implementer(s):
Search NeuronDB for information about:  Thalamus geniculate nucleus/lateral principal GLU cell; I Na,t; I L high threshold; I T low threshold; I A; I K; I h;
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MeuthEtAl2005_local
model
4
HH.mod *
HH.mod.orig
ia.mod *
ic.mod *
ih.mod *
il.mod *
inap.mod *
it.mod *
leak.mod *
Exp4.ses
Neuron.hoc
Neuron.hoc.bak
                            
{load_file("nrngui.hoc")}
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 = -70
xvalue("Init","v_init", 1,"stdinit()", 1, 1 )
xbutton("Init & Run","run()")
xbutton("Stop","stoprun=1")
runStopAt = 5
xvalue("Continue til","runStopAt", 1,"{continuerun(runStopAt) stoprun=1}", 1, 1 )
runStopIn = 1
xvalue("Continue for","runStopIn", 1,"{continuerun(t + runStopIn) stoprun=1}", 1, 1 )
xbutton("Single Step","steprun()")
t = 0
xvalue("t","t", 2 )
tstop = 500
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.025
xvalue("dt","dt", 1,"setdt()", 0, 1 )
steps_per_ms = 40
xvalue("Points plotted/ms","steps_per_ms", 1,"setdt()", 0, 1 )
xcheckbox("Quiet",&stdrun_quiet,"")
realtime = 0
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(0,100)
}
{
save_window_ = new Graph(0)
save_window_.size(0,500,-80,40)
scene_vector_[2] = save_window_
{save_window_.view(0, -80, 500, 120, 363, 0, 576.9, 370)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("v(.5)", 1, 1, 0.8, 0.9, 2)
}
{
xpanel("IClamp[0] at soma(0.5)", 0)
xlabel("IClamp[0] at soma(0.5)")
stimulus.del = 200
xvalue("del","stimulus.del", 1,"", 0, 1 )
stimulus.dur = 200
xvalue("dur","stimulus.dur", 1,"", 0, 1 )
stimulus.amp = 0.2
xvalue("amp","stimulus.amp", 1,"", 0, 1 )
stimulus.i = 0
xvalue("i","stimulus.i", 0,"", 0, 1 )
xpanel(3,535)
}
objectvar scene_vector_[1]
{doNotify()}