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Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)

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Accession:149415
Model files for the entry "Olfactory Computations in Mitral-Granule Cell Circuits" of the Springer Encyclopedia of Computational Neuroscience by Michele Migliore and Tom Mctavish. The simulations illustrate two typical Mitral-Granule cell circuits in the olfactory bulb of vertebrates: distance-independent lateral inhibition and gating effects.
Reference:
1 . Migliore M, McTavish T (2013) Olfactory Computation in Mitral-Granule Cell Circuits Encyclopedia of Computational Neuroscience, Jaeger D, Jung R, ed.
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism: Olfactory bulb;
Cell Type(s): Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell;
Channel(s): I Na,t; I A; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Action Potentials; Intrinsic plasticity; Olfaction;
Implementer(s): Migliore, Michele [Michele.Migliore at Yale.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell; AMPA; NMDA; Gaba; I Na,t; I A; I K; Gaba; Glutamate;
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MiglioreMcTavish2013
readme.html
kamt.mod *
kdrmt.mod *
naxn.mod *
nmdanetOB.mod *
forfig1-springer.hoc
forfig2.ses
forfig2-springer.hoc
forfig3-springer.hoc
gc-ka.hoc
mitral-lss.hoc
mosinit.hoc
screenshot1.png
screenshot2.png
screenshot3.png
                            
// to show IPSP on M0 - no EPSP input

load_file("nrngui.hoc")
load_file("mitral-lss.hoc")
load_file("gc-ka.hoc")
cvode.active(1)

Vrest = -65
dt = 1
celsius=35
tstop=400

objref nconp[3], net, netp[3], g, b, synp, nil, stim0, stim1, stim2
objref mt[3], gc[3]
objref nc[27]

for i=0, 2 {
mt[i] = new Mitral()
gc[i] = new GC()
}

weight=.1
amp=.03
rel=0.2
inh=30
synstr=3
nmdafactor=0.0035
frac=1

mt[0].soma {
stim0 = new IClamp(.5)
stim0.amp=0.3
stim0.dur=150
stim0.del=30
}
mt[1].soma {
stim1 = new IClamp(.5)
stim1.amp=0.3
stim1.dur=150
stim1.del=2
}
mt[2].soma {
stim2 = new IClamp(.5)
stim2.amp=0.3
stim2.dur=150
stim2.del=50
}

temp=0
flag=0

b = new VBox()
b.intercept(1)
g = new Graph()
g.size(0,tstop,-70,0)
g.xaxis(1)
g.addvar("mt[0].soma.v(0.5)",1,1,0.6,0.7,2)
g.addvar("mt[1].soma.v(0.5)",2,1,0.6,0.67,2)
g.addvar("mt[2].soma.v(0.5)",3,1,0.6,0.64,2)
g.addvar("mt[0].secden[1].v(0.8)",8,1,0.6,0.61,2)
g.exec_menu("10% Zoom out")
xpanel("",1)
xbutton("runm", "runm()")
xstatebutton("GC1",&flag)
xpanel()
b.intercept(0)
b.map()


////////////////// circuit definition  

///// gc <-> mt

mt[1].secden[1]	nc[10]= new NetCon(&v(0),gc[1].synmt[0],-40,1, synstr*nmdafactor) 
mt[1].secden[1]	nc[11]= new NetCon(&v(0),gc[1].sampa[0],-40,1, synstr*1e-3) 

gc[1].dend[4]	nc[15]= new NetCon(&v(1),mt[0].igp[1][1],-40,1,inh*1e-3) 
gc[2].dend[0]	nc[18]= new NetCon(&v(1),mt[2].igp[1][0],-40,1,inh*1e-3) 

mt[0].secden[1]	nc[25]= new NetCon(&v(0.8),gc[2].synmt[2],-40,1,synstr*nmdafactor) 
mt[0].secden[1]	nc[26]= new NetCon(&v(0.8),gc[2].sampa[2],-40,1,synstr*1e-3) 

////////////////// end circuit definition


proc init() {
	t=0
	finitialize(Vrest)
        fcurrent()
        forall {
		v=Vrest
		if (ismembrane("nax")) {e_pas=v+(ina+ik)/g_pas
		} else {
		e_pas=v+ik/g_pas
		}
	}
	cvode.re_init()
	g.begin()
	g.plot(t)
}


proc advance() {
	fadvance()
	g.plot(t)
	g.flush()
	Graph[1].flush()
	doNotify()
}

proc runm() {
	nc[15].weight=flag*inh*1e-3
	init()
	run()
}

load_file("forfig2.ses")

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