Olfactory Mitral cell: AP initiation modes (Chen et al 2002)

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Accession:3793
The mitral cell primary dendrite plays an important role in transmitting distal olfactory nerve input from olfactory glomerulus to the soma-axon initial segment. To understand how dendritic active properties are involved in this transmission, we have combined dual soma and dendritic patch recordings with computational modeling to analyze action-potential initiation and propagation in the primary dendrite.
Reference:
1 . Chen WR, Shen GY, Shepherd GM, Hines ML, Midtgaard J (2002) Multiple modes of action potential initiation and propagation in mitral cell primary dendrite. J Neurophysiol 88:2755-64 [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): Olfactory bulb main mitral GLU cell; Myelinated neuron;
Channel(s): I Na,t; I K;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Synaptic Integration; Olfaction;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; AMPA; I Na,t; I K;
objectvar save_window_, rvp_
objectvar scene_vector_[9]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
save_window_ = new Graph(0)
save_window_.size(40,45,-80,40)
scene_vector_[6] = save_window_
{save_window_.view(40, -80, 5, 120, 398, 50, 308.16, 196.48)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("soma.v(0.5)", 2, 1, 0.8, 0.9, 2)
save_window_.addexpr("priden.v(0.75)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(-400,600,0,1)
scene_vector_[8] = save_window_
{save_window_.view(-400, 0, 1000, 1, 400, 322, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("h_na")
myelin[0] rvp_.begin(0.5)
tuftden[0] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 1, 1, 0.8, 0.9)
}
{
save_window_ = new Graph(0)
save_window_.size(-400,600,0,1)
scene_vector_[7] = save_window_
{save_window_.view(-400, 0, 1000, 1, 402, 592, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("m_na")
myelin[0] rvp_.begin(0.5)
tuftden[0] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 1, 1, 0.8, 0.9)
}
{
xpanel("Start over", 0)
xbutton("Re-initialize","fig5binit()")
xbutton("SingleStep","fig5step()")
xpanel(250,527)
}
objectvar scene_vector_[1]
{doNotify()}

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