CA3 pyramidal neuron (Safiulina et al. 2010)

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Accession:126814
In this review some of the recent work carried out in our laboratory concerning the functional role of GABAergic signalling at immature mossy fibres (MF)-CA3 principal cell synapses has been highlighted. To compare the relative strength of CA3 pyramidal cell output in relation to their MF glutamatergic or GABAergic inputs in postnatal development, a realistic model was constructed taking into account the different biophysical properties of these synapses.
Reference:
1 . Safiulina VF, Caiati MD, Sivakumaran S, Bisson G, Migliore M, Cherubini E (2010) Control of GABA Release at Mossy Fiber-CA3 Connections in the Developing Hippocampus. Front Synaptic Neurosci 2:1 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Dendrite;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA3 pyramidal GLU cell;
Channel(s): I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I M; I h; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Dendritic Action Potentials; Bursting; Temporal Pattern Generation; Active Dendrites; Detailed Neuronal Models; Action Potentials; Synaptic Integration; Spike Frequency Adaptation;
Implementer(s): Migliore, Michele [Michele.Migliore at Yale.edu];
Search NeuronDB for information about:  Hippocampus CA3 pyramidal GLU cell; I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I M; I h; I Calcium; Gaba; Glutamate;
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develop
readme.html
cacumm.mod *
cagk.mod *
cal2.mod *
can2.mod *
cat.mod *
h.mod *
KahpM95.mod *
kaprox.mod *
kdrca1.mod *
km.mod *
na3n.mod *
develop.hoc
develop.ses
ec-cell1zr-loop.hoc
fixnseg.hoc *
gabaAt20.jpg
gabaAt40.jpg
geo-cell1zr.hoc *
gluAt20.jpg
gluAt40.jpg
mosinit.hoc
                            
load_file("nrngui.hoc")
cvode_active(1)

Vrest = -64
dt = 0.05
celsius = 35.0  
freq=20

numaxon=1
numsoma=1
numbasal=52
numapical=81

Rm = 25370
Cm    = 1.41
RaAll= 150 
AXONM = 5
ghd=0.00001
gna =  .022
gkdr = 0.01
KMULTP =  0.02
gc=1.e-5
gKc=0
gkm=0.017
gkd=0.0
gahp=0.0
gcal=gc
gcan=gc
gcat=gc


objref rc, rf
use_mcell_ran4()
lowindex = mcell_ran4_init(1)
rc = new Random()
rc.MCellRan4(12345)
rc.uniform(0,80)
rf = new Random()
rf.MCellRan4(10946353)
rf.uniform(0,1)


tstop=1000

xopen("geo-cell1zr.hoc")
xopen("fixnseg.hoc")           

nsyn=30

objref stim, time, y, y2, infile, ifile, currt, curr, syngaba[nsyn], synglu[nsyn]
objref ncgaba[nsyn], ncglu[nsyn], s, apc, spikes

spikes = new Vector()
access soma

apc= new APCount(.5)
apc.thresh=0

distance()

s = new NetStim(.5)
s.interval =50
s.number=10
s.noise=1
s.start=20

low=0
high=100

soma {

for k=0, nsyn-1 {
	syngaba[k] = new Exp2Syn(1)
	syngaba[k].e=-44
	syngaba[k].tau1=1.4
	syngaba[k].tau2=27

	synglu[k]= new Exp2Syn(1)
	synglu[k].e=0
	synglu[k].tau1=.4
	synglu[k].tau2=4.8


}
}

for i=0, nsyn-1 { 
    flag=0
		while (flag==0) {
		comp=int(rc.repick()+0.5)
		tmp=rf.repick()
		apical_dendrite[comp] {if (distance(tmp)<low || distance(tmp)>high) {flag=0} else{flag=1}}

	}
    apical_dendrite[comp] {syngaba[i].loc(tmp)}
}

forall {insert pas area(.5)}

forsec "dendrite" { 
	insert hd 
        insert na3 
        insert kdr 
	insert kap 
	insert cacum depth_cacum=diam/2
        insert cal 
        insert can 
        insert cat 
	insert cagk  
	insert KahpM95 
}

forsec "soma" { 
	insert hd 
        insert na3 
        insert kdr 
	insert kap 
	insert km
	insert cacum depth_cacum=diam/2
        insert cal 
        insert can 
        insert cat 
	insert cagk  
	insert KahpM95 
}

forsec "axon" {   
	insert na3 
        insert kdr 
        insert kap 
}

        forall {v=Vrest e_pas=Vrest g_pas = 1/Rm Ra=RaAll cm=Cm ek=-90 ena=55}
	geom_nseg()
	distance()
forsec "axon" Ra=RaAll/3
forall if(ismembrane("hd")) {ehd_hd=-30}

load_file("develop.ses")

PlotShape[0].exec_menu("Shape Plot")
PlotShape[0].show(0)
Graph[0].exec_menu("Keep Lines")


proc init() {
	access soma
        forall {
		v=Vrest e_pas=Vrest
	        if (ismembrane("cal")) {
                gcalbar_cal=gc
                gcanbar_can=gc
                gcatbar_cat=gc
		gbar_cagk= gKc 
		gbar_KahpM95 = gahp 
		}
	}

forsec "axon" {   
	gbar_na3=gna*AXONM 
        gkdrbar_kdr=gkdr 
        gkabar_kap = KMULTP
}

forsec "soma" {   
	ghdbar_hd=ghd
        gbar_na3=gna  
        gkdrbar_kdr=gkdr 
        gkabar_kap = KMULTP 
	gbar_km= gkm
}

for i=0, numbasal-1 dendrite[i] {
	ghdbar_hd=ghd
        gbar_na3=gna 
        gkdrbar_kdr=gkdr
	gkabar_kap=KMULTP
}
                
forsec "apical_dendrite" {
	ghdbar_hd=ghd
        gbar_na3=gna 
        gkdrbar_kdr=gkdr
	gkabar_kap=KMULTP

}
	finitialize(v)
        fcurrent()
	finitialize(v)
        forall for(x) {
	if (ismembrane("cal")) {e_pas(x)=v(x)+(i_hd(x)+ina(x)+ik(x)+ica(x))/g_pas(x)
		} else {
		e_pas(x)=v(x)+(ina(x)+ik(x))/g_pas(x)
		}
	}
	cvode.re_init()
}


proc runglu20() {
	Graph[0].erase()
	s.interval =50
	for k=0, nsyn-1 {
		ncglu[k] = new NetCon(s, synglu[k], 0, 0, 5.5e-3)
		ncgaba[k] = new NetCon(s, syngaba[k], 0, 0, 0e-3)
	}
	for nsim=1,3 {run()}
}

proc runglu40() {
	Graph[0].erase()
	s.interval =25
	for k=0, nsyn-1 {
		ncglu[k] = new NetCon(s, synglu[k], 0, 0, 5.5e-3)
		ncgaba[k] = new NetCon(s, syngaba[k], 0, 0, 0e-3)
	}
	for nsim=1,3 {run()}
}

proc rungaba20() {
	Graph[0].erase()
	s.interval =50
	for k=0, nsyn-1 {
		ncglu[k] = new NetCon(s, synglu[k], 0, 0, 0e-3)
		ncgaba[k] = new NetCon(s, syngaba[k], 0, 0, 13.8e-3)
	}
	for nsim=1,3 {run()}
}

proc rungaba40() {
	Graph[0].erase()
	s.interval =25
	for k=0, nsyn-1 {
		ncglu[k] = new NetCon(s, synglu[k], 0, 0, 0e-3)
		ncgaba[k] = new NetCon(s, syngaba[k], 0, 0, 13.8e-3)
	}
	for nsim=1,3 {run()}
}

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