CA1 pyramidal neurons: effect of external electric field from power lines (Cavarretta et al. 2014)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:151731
The paper discusses the effects induced by an electric field at power lines frequency.
Reference:
1 . Cavarretta F, Carnevale NT, Tegolo D, Migliore M (2014) Effects of low frequency electric fields on synaptic integration in hippocampal CA1 pyramidal neurons: implications for power line emissions. Front Cell Neurosci 8:310 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Dendrite; Extracellular;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal cell;
Channel(s): I Na,t; I A; I K; I h;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Action Potentials; Synaptic Integration; Extracellular Fields;
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu]; Migliore, Michele [Michele.Migliore at Yale.edu]; Cavarretta, Francesco [francescocavarretta at hotmail.it];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; AMPA; I Na,t; I A; I K; I h; Glutamate;
/
CavarrettaEtAl2014
readme.html
fzap.mod *
h.mod *
kadist.mod *
kaprox.mod *
kdrca1.mod *
na3n.mod *
naxn.mod *
netstimm.mod *
xtrau.mod *
anatscale.hoc *
biophys.hoc
calcd.hoc
calcrxcu.hoc
efheader.hoc *
geo5038804.hoc *
init.hoc
interpxyzu.hoc *
mosinit.hoc *
prova.ses
rigc.ses
screenshot.png
setnseg.hoc *
setpointersu.hoc *
synapses.hoc
voltage.ses
zapstimu.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)}
{
xpanel("RunControl", 0)
v_init = -65
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 = 0
xvalue("t","t", 2 )
tstop = 5
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 = 0
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(0,109)
}
{
save_window_ = new Graph(0)
save_window_.size(0,5,-80,40)
scene_vector_[2] = save_window_
{save_window_.view(0, -80, 5, 120, 292, 109, 300.48, 200.32)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addexpr("v(.5)", 1, 1, 0.8, 0.9, 2)
}
{
save_window_ = new Graph(0)
save_window_.size(-262.88,846.332,-80,40)
scene_vector_[4] = save_window_
{save_window_.view(-262.88, -80, 1109.21, 120, 292, 375, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("v")
dendrite[52] rvp_.begin(1)
user5[34] rvp_.end(1)
rvp_.origin(15.702)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
{
save_window_ = new Graph(0)
save_window_.size(-262.88,846.332,-80,40)
scene_vector_[6] = save_window_
{save_window_.view(-262.88, -80, 1109.21, 120, 292, 641, 300.48, 200.32)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("e_extracellular")
dendrite[52] rvp_.begin(1)
user5[34] rvp_.end(1)
rvp_.origin(15.702)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
}
objectvar scene_vector_[1]
{doNotify()}

Loading data, please wait...