CA1 pyramidal neuron: rebound spiking (Ascoli et al.2010)

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Accession:126776
The model demonstrates that CA1 pyramidal neurons support rebound spikes mediated by hyperpolarization-activated inward current (Ih), and normally masked by A-type potassium channels (KA). Partial KA reduction confined to one or few branches of the apical tuft may be sufficient to elicit a local spike following a train of synaptic inhibition. These data suggest that the plastic regulation of KA can provide a dynamic switch to unmask post-inhibitory spiking in CA1 pyramidal neurons, further increasing the signal processing power of the CA1 synaptic microcircuitry.
Reference:
1 . Ascoli GA, Gasparini S, Medinilla V, Migliore M (2010) Local control of postinhibitory rebound spiking in CA1 pyramidal neuron dendrites. J Neurosci 30:6434-42 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Dendrite;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal cell;
Channel(s): I Na,t; I A; I h; I Potassium;
Gap Junctions:
Receptor(s): Gaba;
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Activity Patterns; Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Action Potentials; Intrinsic plasticity; Synaptic Integration;
Implementer(s): Migliore, Michele [Michele.Migliore at Yale.edu];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; Gaba; I Na,t; I A; I h; I Potassium; Gaba;
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rebound
readme.html
h.mod
kadist.mod *
kaprox.mod *
kdrca1.mod *
na3n.mod *
naxn.mod *
4-ap.jpg
4-ap_plus_zd.jpg
control.jpg
fixnseg.hoc *
mod_func.c
mosinit.hoc
pc2b.hoc *
rebound.hoc
rebound.ses
                            
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[3]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}
{
save_window_ = new Graph(0)
save_window_.size(0,550,-160,-40)
scene_vector_[2] = save_window_
{save_window_.view(0, -160, 550, 120, 627, 129, 300.6, 200.8)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("v(.5)", 1, 1, 0.674252, 0.415936, 2)
save_window_.addexpr("dend_5[10].v(.5)", 2, 1, 0.674251, 0.375598, 2)
}
{
xpanel(" ", 0)
KMULT = 0.004
xvalue("K_A","KMULT", 0,"", 0, 0 )
ghd = 2e-05
xvalue("I_h","ghd", 0,"", 0, 0 )
xbutton("control","runc()")
xbutton("4-AP","run4ap()")
xbutton("4-AP+ZD","run4apzd()")
xpanel(427,238)
}
objectvar scene_vector_[1]
{doNotify()}

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