Active dendritic action potential propagation (Casale & McCormick 2011)

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Accession:143635
This model explores the dendritic sodium and potassium conductances needed to recapitulate voltage-sensitive dye optical recordings of thalamic interneuron dendrites in the dorsal lateral geniculate nucleus. Model ion channels were selected based on pharmacological data.
Reference:
1 . Casale AE, McCormick DA (2011) Active action potential propagation but not initiation in thalamic interneuron dendrites. J Neurosci 31:18289-302 [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: Thalamus;
Cell Type(s): Thalamus lateral geniculate nucleus interneuron;
Channel(s): I Na,t; I_KHT;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Conductance distributions;
Implementer(s): Casale, Amanda [Amanda.Casale at yale.edu];
Search NeuronDB for information about:  I Na,t; I_KHT;
objectvar save_window_, rvp_
objectvar scene_vector_[12]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
save_window_ = new Graph(0)
save_window_.size(0,365,-80,40)
scene_vector_[11] = save_window_
{save_window_.view(0, -80, 365, 120, 12, 293, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("Width_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
{
save_window_ = new PlotShape(0)
save_window_.size(7.16666,351.833,-172.333,172.333)
save_window_.variable("Width_mhw")
scene_vector_[10] = save_window_
{save_window_.view(7.16666, -172.333, 344.667, 344.667, 37, 565, 200.64, 200.32)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
{
save_window_ = new Graph(0)
save_window_.size(0,365,-80,40)
scene_vector_[9] = save_window_
{save_window_.view(0, -80, 365, 120, 275, 283, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("Risetime_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
{
save_window_ = new PlotShape(0)
save_window_.size(7.16666,351.833,-172.333,172.333)
save_window_.variable("Risetime_mhw")
scene_vector_[8] = save_window_
{save_window_.view(7.16666, -172.333, 344.667, 344.667, 386, 558, 200.64, 200.32)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
{
save_window_ = new Graph(0)
save_window_.size(0,365,-80,40)
scene_vector_[7] = save_window_
{save_window_.view(0, -80, 365, 120, 594, 283, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("Falltime_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
{
save_window_ = new PlotShape(0)
save_window_.size(7.16666,351.833,-172.333,172.333)
save_window_.variable("Falltime_mhw")
scene_vector_[6] = save_window_
{save_window_.view(7.16666, -172.333, 344.667, 344.667, 698, 559, 200.64, 200.32)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
{
save_window_ = new Graph(0)
save_window_.size(0,365,-80,40)
scene_vector_[5] = save_window_
{save_window_.view(0, -80, 365, 120, 920, 283, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("Vthresh_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.675399, 0.751438)
objectvar rvp_
rvp_ = new RangeVarPlot("thresh10_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 3, 1, 0.681789, 0.8377)
objectvar rvp_
rvp_ = new RangeVarPlot("thresh90_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 4, 1, 0.684984, 0.914377)
objectvar rvp_
rvp_ = new RangeVarPlot("Peak_mhw")
soma rvp_.begin(0)
dend rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 5, 1, 0.684984, 0.995847)
}
{
save_window_ = new PlotShape(0)
save_window_.size(7.16666,351.833,-172.333,172.333)
save_window_.variable("Peak_mhw")
scene_vector_[4] = save_window_
{save_window_.view(7.16666, -172.333, 344.667, 344.667, 916, 563, 200.64, 200.32)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
objectvar scene_vector_[1]
{doNotify()}