CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)

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Accession:157157
This NEURON code implements a microcircuit of CA1 pyramidal neuron and consists of a detailed model of CA1 pyramidal cell and four types of inhibitory interneurons (basket, bistratified, axoaxonic and oriens lacunosum-moleculare cells). Synaptic plasticity during theta cycles at a synapse in a single spine on the stratum radiatum dendrite of the CA1 pyramidal cell is modeled using a phenomenological model of synaptic plasticity (Graupner and Brunel, PNAS 109(20):3991-3996, 2012). The code is adapted from the Poirazi CA1 pyramidal cell (ModelDB accession number 20212) and the Cutsuridis microcircuit model (ModelDB accession number 123815)
Reference:
1 . Saudargiene A, Cobb S, Graham BP (2015) A computational study on plasticity during theta cycles at Schaffer collateral synapses on CA1 pyramidal cells in the hippocampus. Hippocampus 25:208-18 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal cell; Hippocampus CA1 basket cell; Hippocampus CA1 bistratified cell; Hippocampus CA1 axo-axonic cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Long-term Synaptic Plasticity; STDP;
Implementer(s): Saudargiene, Ausra [ausra.saudargiene at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell;
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SaudargieneEtAl2015
readme.html
ANsyn.mod *
bgka.mod *
bistableGB_DOWNUP.mod
burststim2.mod *
cad.mod
cadiffus.mod *
cagk.mod *
cal.mod *
calH.mod *
car.mod *
cat.mod *
ccanl.mod *
d3.mod *
gabaa.mod *
gabab.mod *
glutamate.mod *
gskch.mod *
h.mod
hha_old.mod *
hha2.mod *
hNa.mod *
IA.mod
ichan2.mod
Ih.mod *
kadbru.mod
kadist.mod *
kapbru.mod
kaprox.mod *
Kaxon.mod *
kca.mod *
Kdend.mod *
km.mod *
Ksoma.mod *
LcaMig.mod *
my_exp2syn.mod *
Naaxon.mod *
Nadend.mod *
nap.mod
Nasoma.mod *
nca.mod *
nmda.mod *
nmdaca.mod *
regn_stim.mod *
somacar.mod *
STDPE2Syn.mod *
apical-non-trunk-list.hoc
apical-tip-list.hoc
apical-tip-list-addendum.hoc
apical-trunk-list.hoc
axoaxonic_cell17S.hoc
axon-sec-list.hoc
BasalPath.hoc
basal-paths.hoc
basal-tree-list.hoc
basket_cell17S.hoc
bistratified_cell13S.hoc
burst_cell.hoc
current-balance.hoc *
main.hoc
map-segments-to-3d.hoc *
mod_func.c
mosinit.hoc
ObliquePath.hoc *
oblique-paths.hoc
olm_cell2.hoc
pattsN100S20P5_single.dat
PC.ses
peri-trunk-list.hoc
pyramidalNeuron.hoc
randomLocation.hoc
ranstream.hoc
screenshot.png
soma-list.hoc
stim_cell.hoc *
vector-distance.hoc
                            
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[6]
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(0,5000,0,0.043)
scene_vector_[2] = save_window_
{save_window_.view(0, 0, 5000, 0.043, 372, 234, 805.5, 100)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addvar("PyramidalCell[0].spine_head41.cai( 0.5 )", 3, 1, 0.735196, 0.880015, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(0,5000,-75,22)
scene_vector_[3] = save_window_
{save_window_.view(0, -75, 5000, 97, 369, 6, 811.8, 113.5)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addvar("PyramidalCell[0].soma[4].v( 0.5 )", 4, 1, 0.71796, 0.701762, 2)
save_window_.addexpr("PyramidalCell[0].apical_dendrite[95].v( 0.5)", 2, 1, 0.721286, 1.05066, 2)
save_window_.addvar("PyramidalCell[0].spine_head41.v( 0.5 )", 3, 1, 0.721286, 1.02687, 2)
}
{
xpanel("RunControl", 0)
v_init = -70
xvalue("Init","v_init", 1,"stdinit()", 1, 1 )
xbutton("Init & Run","run()")
xbutton("Stop","stoprun=1")
runStopAt = 5
xvalue("Continue til","runStopAt", 1,"{continuerun(runStopAt) stoprun=1}", 1, 1 )
runStopIn = 1
xvalue("Continue for","runStopIn", 1,"{continuerun(t + runStopIn) stoprun=1}", 1, 1 )
xbutton("Single Step","steprun()")
t = 942.55
xvalue("t","t", 2 )
tstop = 5000
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.025
xvalue("dt","dt", 1,"setdt()", 0, 1 )
steps_per_ms = 40
xvalue("Points plotted/ms","steps_per_ms", 1,"setdt()", 0, 1 )
screen_update_invl = 0.05
xvalue("Scrn update invl","screen_update_invl", 1,"", 0, 1 )
realtime = 235.16
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(2,121)
}
{
save_window_ = new Graph(0)
save_window_.size(0,5000,-90,60)
scene_vector_[4] = save_window_
{save_window_.view(0, -90, 5000, 150, 374, 678, 811.8, 90.1)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addvar("BistratifiedCell[0].soma.v( 0.5 )", 1, 1, 0.8, 0.9, 2)
save_window_.addexpr("OLMCell[0].axon.v( 0.5 )", 2, 1, 0.8, 0.9, 2)
save_window_.addvar("BasketCell[0].soma.v( 0.5 )", 4, 1, 0.8, 0.9, 2)
save_window_.addexpr("BasketCell[1].soma.v( 0.5 )", 4, 1, 0.8, 0.9, 2)
save_window_.addvar("AACell[0].soma.v( 0.5 )", 3, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(0,5000,0,1)
scene_vector_[5] = save_window_
{save_window_.view(0, 0, 5000, 1, 373, 441, 811.8, 117.1)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addvar("PyramidalCell[0].spine_head41.pDOWN_BistableGBdownup( 0.5 )", 3, 1, 0.639831, 0.862788, 2)
save_window_.addexpr("PyramidalCell[0].spine_head41.pUP_BistableGBdownup( 0.5 )", 2, 1, 0.639831, 1.01164, 2)
}
objectvar scene_vector_[1]
{doNotify()}