Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)

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Accession:3815
An implementation of a model of short-term synaptic plasticity with NEURON. The model was originally described by Tsodyks et al., who assumed that the synapse acted as a current source, but this implementation treats it as a conductance change. Tsodyks, M., Pawelzik, K., Markram, H. Neural networks with dynamic synapses. Neural Computation 10:821-835, 1998. Tsodyks, M., Uziel, A., Markram, H. Synchrony generation in recurrent networks with frequency-dependent synapses. J. Neurosci. 2000 RC50.
Reference:
1 . Tsodyks M, Pawelzik K, Markram H (1998) Neural networks with dynamic synapses. Neural Comput 10:821-35 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Short-term Synaptic Plasticity; Facilitation; Depression;
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu];
Search NeuronDB for information about:  AMPA; Glutamate;
objectvar save_window_, rvp_
objectvar scene_vector_[6]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}

//Begin NetReadyCellGUI[0]
{
load_file("netbild.hoc")
}
{ocbox_ = new NetReadyCellGUI(1)}
{ocbox_.tobj = new CellBuild(1)}
{object_push(ocbox_.tobj)}
{
version(5.7)
continuous = 0
}
{object_push(topol)}
{
first = 0
slist.remove_all()
sname = "dend"
objref tobj
}
{
tobj = new CellBuildSection("soma",0, 0, tobj, 0) slist.append(tobj)
  tobj.position(0,0,15,0) tobj.lx=7.5 tobj.ly=0 tobj.i3d=0
all_init()
}
for i=0, slist.count-1 {slist.object(i).rdses()}
{object_pop()}
{
}
{object_push(subsets)}
{first = 0}
{ tobj = snlist.object(0)}
{consist()}
{object_pop()}
{
}
{object_push(geom)}
{
first = 0
tobj = new GeoSpec(4)
tobj.value = 40000
bild.topol.slist.object(0).geo.append(tobj)
tobj = new GeoSpec(6)
tobj.value = 1
bild.topol.slist.object(0).geo.append(tobj)
set_default()
}
{object_pop()}
{
}
{object_push(memb)}
{first=0}
{
tobj = new FakeMechStan(0)
tobj.value = 80
tobj.set_default()
tobj = new MStanWrap(tobj, 0)
bild.subsets.snlist.object(0).ml.append(tobj)
}
{
tobj = new FakeMechStan(1)
tobj.value = 1
tobj.set_default()
tobj = new MStanWrap(tobj, 0)
bild.subsets.snlist.object(0).ml.append(tobj)
}
{
tobj = new MechanismStandard("pas")
tobj.set("g_pas", 2.5e-05, 0)
tobj.set("e_pas", 0, 0)
tobj = new MStanWrap(tobj, 1)
bild.subsets.snlist.object(0).ml.append(tobj)
}
{object_pop()}
{
}
{object_push(manage)}
{
first = 0
classname = "Cell"
etop=1 esub=1 egeom=1 emem=1
itop=1 isub=0 igeom=0 imem=0
bild.topol.names_off = 0
bild.topol.circles_off = 0
output_index = 0  output_x = 1
thresh = 10
}
{object_pop()}
{
cexport()
}
{object_pop()}
{
save_window_=ocbox_.tobj.gtopol
save_window_.size(-200,200,-150,150)
scene_vector_[3] = save_window_
ocbox_.tobj.gtopol = save_window_
save_window_.save_name("ocbox_.tobj.gtopol")
}
{object_push(ocbox_)}
stgui = new SynTypeGUI(1)
{object_push(stgui)}
{
tobj = new MechanismStandard("tmgsyn")
tobj.set("e", 100, 0)
tobj.set("tau_1", 3, 0)
tobj.set("tau_rec", 800, 0)
tobj.set("tau_facil", 0, 0)
tobj.set("U", 0.5, 0)
tobj.set("u0", 0, 0)
}
{append(tobj, "D")}
{object_pop()}
nrc = new NetReadyCell(tobj, stgui.stypelist)
nrc.name = "Pyr"
tobj = nrc.cb.topol.slist.object(0)
{nrc.synlist.append(new SynTypeInstance(nrc.stype.object[0],tobj,0.5,0.5,-2))}
{g.size(-166.667,166.667,-103.132,103.132)}
{object_pop()}
{
ocbox_.map("NetReadyCellGUI[0]", 0, 105, 382.08, 290.88)
}
objref ocbox_
//End NetReadyCellGUI[0]

objectvar scene_vector_[1]
{doNotify()}

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