3D model of the olfactory bulb (Migliore et al. 2014)

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Accession:151681
This entry contains a link to a full HD version of movie 1 and the NEURON code of the paper: "Distributed organization of a brain microcircuit analysed by three-dimensional modeling: the olfactory bulb" by M Migliore, F Cavarretta, ML Hines, and GM Shepherd.
Reference:
1 . Migliore M, Cavarretta F, Hines ML, Shepherd GM (2014) Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb. Front Comput Neurosci 8:50 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Channel/Receptor; Dendrite;
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): NMDA; Glutamate; Gaba;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Pattern Recognition; Activity Patterns; Bursting; Temporal Pattern Generation; Oscillations; Synchronization; Active Dendrites; Detailed Neuronal Models; Synaptic Plasticity; Action Potentials; Synaptic Integration; Unsupervised Learning; Olfaction;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]; Migliore, Michele [Michele.Migliore at Yale.edu]; Cavarretta, Francesco [francescocavarretta at hotmail.it];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell; NMDA; Glutamate; Gaba; I Na,t; I A; I K;
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bulb3d
readme.html
ampanmda.mod *
distrt.mod *
fi.mod *
kamt.mod *
kdrmt.mod *
naxn.mod *
ThreshDetect.mod *
all2all.py *
balance.py *
bindict.py
BulbSurf.py
colors.py *
common.py
complexity.py *
custom_params.py *
customsim.py
destroy_model.py *
determine_connections.py
distribute.py *
fig7.py
fixnseg.hoc *
getmitral.py
gidfunc.py *
glom.py
granule.hoc *
granules.py
input-odors.txt *
loadbalutil.py *
lpt.py *
mayasyn.py
mgrs.py
misc.py
mitral.hoc *
mitral_dend_density.py
mkmitral.py
modeldata.py *
multisplit_distrib.py *
net_mitral_centric.py
odordisp.py *
odors.py *
odorstim.py
params.py
parrun.py
realgloms.txt *
runsim.py
split.py *
util.py *
weightsave.py *
                            
TITLE K-DR
: K-DR current for Mitral Cells from Wang et al (1996)
: M.Migliore Jan. 2002

NEURON {
    THREADSAFE
	SUFFIX kdrmt
	USEION k READ ek WRITE ik
	RANGE  gbar
	GLOBAL minf, mtau
}

PARAMETER {
	gbar = 0.002   	(mho/cm2)	
								
	celsius
	ek		(mV)            : must be explicitly def. in hoc
	v 		(mV)
	a0m=0.0035
	vhalfm=-50
	zetam=0.055
	gmm=0.5

	q10=3
}


UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	(pS) = (picosiemens)
	(um) = (micron)
} 

ASSIGNED {
	ik 		(mA/cm2)
	minf 		mtau (ms)	 	
}
 

STATE { m}

BREAKPOINT {
        SOLVE states METHOD cnexp
	ik = gbar*m*(v - ek)
} 

INITIAL {
	trates(v)
	m=minf  
}

DERIVATIVE states {   
        trates(v)      
        m' = (minf-m)/mtau
}

PROCEDURE trates(v) {  
	LOCAL qt
        qt=q10^((celsius-24)/10)
        minf = 1/(1 + exp(-(v-21)/10))
	mtau = betm(v)/(qt*a0m*(1+alpm(v)))
}

FUNCTION alpm(v(mV)) {
  alpm = exp(zetam*(v-vhalfm)) 
}

FUNCTION betm(v(mV)) {
  betm = exp(zetam*gmm*(v-vhalfm)) 
}