Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)

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Accession:20756
This simulation is based on the reference paper listed below. This port was made by Roger D Traub and Maciej T Lazarewicz (mlazarew at seas.upenn.edu) Thanks to Ashlen P Reid for help with porting a morphology of the cell.
Reference:
1 . Traub RD, Buhl EH, Gloveli T, Whittington MA (2003) Fast rhythmic bursting can be induced in layer 2/3 cortical neurons by enhancing persistent Na+ conductance or by blocking BK channels. J Neurophysiol 89:909-21 [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): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Bursting; Active Dendrites; Detailed Neuronal Models; Axonal Action Potentials; Calcium dynamics;
Implementer(s): Lazarewicz, Maciej [mlazarew at gmu.edu]; Traub, Roger D ;
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
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objectvar scene_vector_[4]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
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save_window_.size(100,1000,-80,40)
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{save_window_.view(0, -80, 1000, 120, 249, 105, 591.36, 325.12)}
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save_window_.save_name("graphList[0].")
save_window_.addexpr("pyr3_.comp[43].v(0.5)", 1, 1, 0.8, 0.9, 2)

}
{
save_window_ = new Graph(0)
save_window_.size(100,1000,-80,40)
scene_vector_[3] = save_window_
{save_window_.view(0, -80, 1000, 120, 249, 500, 592.32, 323.2)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("pyr3_.comp[1].v(0.5)", 1, 1, 0.8, 0.9, 2)

}
objectvar scene_vector_[1]
{doNotify()}