Functional properties of dendritic gap junctions in Cerebellar Golgi cells (Szoboszlay et al. 2016)

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Accession:189186
" ... We investigated the properties of gap junctions in cerebellar interneurons by combining paired somato-somatic and somato-dendritic recordings, anatomical reconstructions, immunohistochemistry, electron microscopy, and modeling. By fitting detailed compartmental models of Golgi cells to their somato-dendritic voltage responses, we determined their passive electrical properties and the mean gap junction conductance (0.9 nS). ..."
Reference:
1 . Szoboszlay M, Lorincz A, Lanore F, Vervaeke K, Silver RA, Nusser Z (2016) Functional Properties of Dendritic Gap Junctions in Cerebellar Golgi Cells. Neuron 90:1043-56 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Cerebellum golgi cell;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; neuroConstruct;
Model Concept(s):
Implementer(s): Szoboszlay, M [szoboszlay.miklos at koki.mta.hu];
/
Golgi
02_Somatic_paired_recordings
140610-C1
gapCond.mod *
auto_fitting.ses
auto_fitting.ses.fd1
auto_fitting.ses.fd2
auto_fitting.ses.ft1
auto_fitting.ses.ft2
biophys.hoc *
cellCheck.hoc *
init.hoc *
init_auto_fitting.hoc
morphology_140610_C1_blue.hoc
morphology_140610_C1_blue_noDL.hoc
morphology_140610_C1_red.hoc
morphology_140610_C1_red_noDL.hoc
nCtools.hoc *
parameters.hoc
Passive_GoC_membrane_kinetics_1.hoc
Passive_GoC_membrane_kinetics_10.hoc
Passive_GoC_membrane_kinetics_2.hoc
Passive_GoC_membrane_kinetics_3.hoc
Passive_GoC_membrane_kinetics_4.hoc
Passive_GoC_membrane_kinetics_5.hoc
Passive_GoC_membrane_kinetics_6.hoc
Passive_GoC_membrane_kinetics_7.hoc
Passive_GoC_membrane_kinetics_8.hoc
Passive_GoC_membrane_kinetics_9.hoc
processes.hoc
                            
{load_file("nrngui.hoc")}
objectvar save_window_, rvp_
objectvar scene_vector_[7]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{pwman_place(0,0,0)}

//Begin MulRunFitter[0]
{
load_file("mulfit.hoc", "MulRunFitter")
}
{
ocbox_ = new MulRunFitter(1)
}
{object_push(ocbox_)}
{
version(6)
ranfac = 2
fspec = new File("auto_fitting.ses.ft1")
fdat = new File("auto_fitting.ses.fd1")
read_data()
build()
}
opt.set_optimizer("MulfitPraxWrap")
{object_push(opt.optimizer)}
{
nstep = 6
}
{object_pop()}
{p.gengui(1, 798, 114, 344.7, 523.8)}
{p.showargs(508, 51, 291.6, 217.8)}
{optrestore(840, 708, 303.3, 477.9)}
{object_pop()}
{
ocbox_.map("MulRunFitter[0]", 12, 274, 357.3, 231.3)
}
objref ocbox_
//End MulRunFitter[0]


//Begin MulRunFitter[1]
{
load_file("mulfit.hoc", "MulRunFitter")
}
{
ocbox_ = new MulRunFitter(1)
}
{object_push(ocbox_)}
{
version(6)
ranfac = 2
fspec = new File("auto_fitting.ses.ft2")
fdat = new File("auto_fitting.ses.fd2")
read_data()
build()
}
opt.set_optimizer("MulfitPraxWrap")
{object_push(opt.optimizer)}
{
nstep = 6
}
{object_pop()}
{p.gengui(1, 1212, 109, 351, 525.6)}
{p.showargs(516, 374, 291.6, 217.8)}
{optrestore(1296, 698, 299.7, 476.1)}
{object_pop()}
{
ocbox_.map("MulRunFitter[1]", 28, 484, 337.5, 237.6)
}
objref ocbox_
//End MulRunFitter[1]

{
xpanel("RunControl", 0)
xbutton("Init & Run","run()")
xbutton("Stop","stoprun=1")
t = 700.272
xvalue("t","t", 2 )
tstop = 700
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.625021
xvalue("dt","dt", 1,"setdt()", 0, 1 )
xpanel(79,79)
}
{
save_window_ = new Graph(0)
save_window_.size(0,710,-0.1,7.3)
scene_vector_[6] = save_window_
{save_window_.view(0, -0.1, 710, 7.4, 1668, 120, 314.1, 237.7)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("morphology_140610_C1_blue[0].soma_b.v(0.5)", 3, 1, 0.324355, 0.953008, 2)
save_window_.addexpr("morphology_140610_C1_red[0].soma_r.v(0.5)", 2, 1, 0.344413, 0.941649, 2)
}
{
xpanel("Injection site", 0)
xbutton("Blue cell","injSoma_b()")
xbutton("Red cell","injSoma_r()")
xpanel(7,139)
}
objectvar scene_vector_[1]
{doNotify()}