T-type Ca current in thalamic neurons (Wang et al 1991)

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Accession:53893
A model of the transient, low-threshold voltage-dependent (T-type) Ca2+ current is constructed using whole-cell voltage-clamp data from enzymatically isolated rat thalamocortical relay neurons. The T-type Ca2+ current is described according to the Hodgkin-Huxley scheme, using the m3h format, with rate constants determined from the experimental data.
Reference:
1 . Wang XJ, Rinzel J, Rogawski MA (1991) A model of the T-type calcium current and the low-threshold spike in thalamic neurons. J Neurophysiol 66:839-50 [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): Thalamus geniculate nucleus/lateral principal GLU cell;
Channel(s): I T low threshold;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Ion Channel Kinetics; Oscillations;
Implementer(s): Morse, Tom [Tom.Morse at Yale.edu];
Search NeuronDB for information about:  Thalamus geniculate nucleus/lateral principal GLU cell; I T low threshold;
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ca_t_lva
readme.txt
lva.mod
fig3.hoc
fig3.ses
mosinit.hoc
                            
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[5]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}

//Begin SingleCompartment
{
load_file("single.hoc")
}
ocbox_ = new SingleCompartment(0)
ocbox_.inserter = new Inserter(0)
{object_push(ocbox_.inserter)}
{
mt.select("lva") i = mt.selected()
ms[i] = new MechanismStandard("lva")
ms[i].set("gbar_lva", 0.0004, 0)
ms[i].set("Erev_lva", 120, 0)
ms[i].set("V_s_lva", 0, 0)
mstate[i]= 1
maction(i)
}
{object_pop() doNotify()}
{object_push(ocbox_)}
{inserter.v1.map()}
{endbox()}
{object_pop() doNotify()}
{
ocbox_ = ocbox_.vbox
ocbox_.map("SingleCompartment", 342, 688, 93.12, 111.36)
}
objref ocbox_
//End SingleCompartment


//Begin PointProcessGroupManager
{
load_file("pointgrp.hoc")
}
{
ocbox_ = new PointProcessGroupManager(0)
}
{object_push(ocbox_)}
{
ms = new MechanismStandard("OClamp")
ms.set("rs", 1, 0)
ms.set("on", 0, 0)
ms.set("off", 600, 0)
ms.set("vc", -42, 0)
ms.set("switched_on", 1, 0)
mnews("OClamp", ms)
select(0)
execute("soma ocbox_.move(0.5)")
}
{object_pop() doNotify()}
{
ocbox_ = ocbox_.v1
ocbox_.map("PointProcessGroupManager", 332, 348, 556.8, 295.68)
}
objref ocbox_
//End PointProcessGroupManager

{
xpanel("RunControl", 0)
v_init = -92
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 = 600
xvalue("t","t", 2 )
tstop = 600
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 )
screen_update_invl = 0.05
xvalue("Scrn update invl","screen_update_invl", 1,"", 0, 1 )
realtime = 1.42
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(35,347)
}
{
save_window_ = new Graph(0)
save_window_.size(0,600,0,1)
scene_vector_[3] = save_window_
{save_window_.view(0, 0, 600, 1, 927, 612, 296.64, 200.32)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addvar("soma.m_lva( 0.5 )", 2, 1, 0.333546, 0.775399, 2)
save_window_.addvar("soma.d_lva( 0.5 )", 3, 1, 0.333546, 0.75623, 2)
save_window_.addvar("soma.h_lva( 0.5 )", 4, 1, 0.336741, 0.708307, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(-10,600,-0.025,-4.65661e-10)
scene_vector_[4] = save_window_
{save_window_.view(-10, -0.025, 610, 0.025, 926, 347, 300.48, 200.32)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addvar("soma.i_lva( 0.5 )", 1, 1, 0.547604, 0.521406, 2)
}
objectvar scene_vector_[1]
{doNotify()}

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