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

 Download zip file   Auto-launch 
Help downloading and running models
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]
Citations  Citation Browser
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 [rtraub at us.ibm.com];
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;
objectvar save_window_, rvp_
objectvar scene_vector_[5]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
save_window_ = new Graph(0)
save_window_.size(0,210,-90,50)
scene_vector_[3] = save_window_
{save_window_.view(0, -90, 210, 140, 220, 105, 589.44, 161.92)}
graphList[2].append(save_window_)
save_window_.save_name("graphList[2].")
save_window_.addexpr("pyr3_.comp[72].v(0.5)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(0,210,-90,30)
scene_vector_[2] = save_window_
{save_window_.view(0, -90, 210, 120, 220, 330, 590.4, 162.88)}
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)
}
{
save_window_ = new Graph(0)
save_window_.size(0,210,-100,70)
scene_vector_[4] = save_window_
{save_window_.view(0, -100, 210, 170, 220, 556, 590.4, 156.16)}
graphList[2].append(save_window_)
save_window_.save_name("graphList[2].")
save_window_.addexpr("pyr3_.comp[45].v(0.5)", 1, 1, 0.8, 0.9, 2)
}
objectvar scene_vector_[1]
{doNotify()}