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Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)

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Accession:114665
In the olfactory bulb, the processing units for odor discrimination are believed to involve dendrodendritic synaptic interactions between mitral and granule cells. There is increasing anatomical evidence that these cells are organized in columns, and that the columns processing a given odor are arranged in widely distributed arrays. Experimental evidence is lacking on the underlying learning mechanisms for how these columns and arrays are formed. We have used a simplified realistic circuit model to test the hypothesis that distributed connectivity can self-organize through an activity-dependent dendrodendritic synaptic mechanism. The results point to action potentials propagating in the mitral cell lateral dendrites as playing a critical role in this mechanism, and suggest a novel and robust learning mechanism for the development of distributed processing units in a cortical structure.
Reference:
1 . Migliore M, Inzirillo C, Shepherd GM (2007) Learning mechanism for column formation in the olfactory bulb. Front Integr Neurosci 1:12 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
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): Activity Patterns; Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Synaptic Plasticity; Long-term Synaptic Plasticity; Action Potentials; Learning; 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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plast
readme.html
kamt.mod *
kdrmt.mod *
naxn.mod *
nmdanetOB.mod *
2mc-w05-w00-e2i3-int220.hoc
2mt-s1-w05-w00-e2i3-int220.txt
2mt-s2-w05-w00-e2i3-int220.txt
2mt-s4-w05-w00-e2i3-int220.txt
gc-plast.hoc
mitral-plast-2.hoc
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plasticity-disp.hoc
screenshot.jpg
trace-gc0dend0-w05-w00-e2i3-int220.txt
trace-gc33dend0-w05-w00-e2i3-int220.txt
trace-mt0dend066-w05-w00-e2i3-int220.txt
trace-mt0soma05-w05-w00-e2i3-int220.txt
trace-time-w05-w00-e2i3-int220.txt
                            
TITLE K-DR
: K-DR current for Mitral Cells from Wang et al (1996)
: M.Migliore Jan. 2002

NEURON {
	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)) 
}

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