Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)

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Accession:149415
Model files for the entry "Olfactory Computations in Mitral-Granule Cell Circuits" of the Springer Encyclopedia of Computational Neuroscience by Michele Migliore and Tom Mctavish. The simulations illustrate two typical Mitral-Granule cell circuits in the olfactory bulb of vertebrates: distance-independent lateral inhibition and gating effects.
Reference:
1 . Migliore M, McTavish T (2013) Olfactory Computation in Mitral-Granule Cell Circuits Encyclopedia of Computational Neuroscience, Jaeger D, Jung R, ed.
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism: Olfactory bulb;
Cell Type(s): Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell;
Channel(s): I Na,t; I A; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Action Potentials; Intrinsic plasticity; Olfaction;
Implementer(s): Migliore, Michele [Michele.Migliore at Yale.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell; AMPA; NMDA; Gaba; I Na,t; I A; I K; Gaba; Glutamate;
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MiglioreMcTavish2013
readme.html
kamt.mod *
kdrmt.mod *
naxn.mod *
nmdanetOB.mod *
forfig1-springer.hoc
forfig2.ses
forfig2-springer.hoc
forfig3-springer.hoc
gc-ka.hoc
mitral-lss.hoc
mosinit.hoc
screenshot1.png
screenshot2.png
screenshot3.png
                            
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[4]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}
{
ocbox_ = new VBox()
ocbox_list_.prepend(ocbox_)
ocbox_.intercept(1)
}
{
ocbox_ = ocbox_list_.object(0)
ocbox_.intercept(0)
//ocbox_.map("c:\nrn\bin64\nrniv.exe", 163, 350, 321, 289.8)
}
objref ocbox_
{
save_window_ = new Graph(0)
save_window_.size(-987.5,1012.5,-80,40)
scene_vector_[3] = save_window_
{save_window_.view(-987.5, -80, 2000, 120, 798, 354, 301.8, 233.8)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("v")
mt[0].secden[0] rvp_.begin(1)
mt[0].secden[1] rvp_.end(1)
rvp_.origin(12.5)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
objectvar scene_vector_[1]
{doNotify()}

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