Olfactory Bulb Network (Davison et al 2003)

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Accession:2730
A biologically-detailed model of the mammalian olfactory bulb, incorporating the mitral and granule cells and the dendrodendritic synapses between them. The results of simulation experiments with electrical stimulation agree closely in most details with published experimental data. The model predicts that the time course of dendrodendritic inhibition is dependent on the network connectivity as well as on the intrinsic parameters of the synapses. In response to simulated odor stimulation, strongly activated mitral cells tend to suppress neighboring cells, the mitral cells readily synchronize their firing, and increasing the stimulus intensity increases the degree of synchronization. For more details, see the reference below.
Reference:
1 . Davison AP, Feng J, Brown D (2003) Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model. J Neurophysiol 90:1921-35 [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 cell; Olfactory bulb main interneuron granule MC cell;
Channel(s): I Na,t; I L high threshold; I A; I K; I K,leak; I M; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Synchronization; Spatio-temporal Activity Patterns; Olfaction;
Implementer(s): Davison, Andrew [Andrew.Davison at iaf.cnrs-gif.fr];
Search NeuronDB for information about:  Olfactory bulb main mitral cell; Olfactory bulb main interneuron granule MC cell; GabaA; AMPA; NMDA; I Na,t; I L high threshold; I A; I K; I K,leak; I M; I K,Ca; I Sodium; I Calcium; I Potassium; Gaba; Glutamate;
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bulbNet
README *
cadecay.mod *
flushf.mod *
kA.mod *
kca.mod *
kfasttab.mod *
kM.mod *
kslowtab.mod *
lcafixed.mod *
nafast.mod *
nagran.mod *
nmdanet.mod *
bulb.hoc
calcisilag.hoc *
ddi_baseline.gnu *
ddi_baseline.ses *
experiment_ddi_baseline.hoc *
experiment_odour_baseline.hoc *
granule.tem *
init.hoc *
input.hoc *
input1 *
mathslib.hoc *
mitral.tem *
mosinit.hoc *
odour_baseline.connect
odour_baseline.gnu *
odour_baseline.ses *
parameters_ddi_baseline.hoc *
parameters_odour_baseline.hoc *
screenshot.png *
tabchannels.dat *
tabchannels.hoc *
                            
// parameters_ddi_baseline.hoc
// Olfactory bulb network model: parameters file
//   for dendrodendritic inhibition.
// Andrew Davison, The Babraham Institute, 2000.

nmitx       = 5			// 1st dimension of mitral cell array
nmity       = 5			// 2nd dimension of mitral cell array
nglom       = nmitx*nmity	// total number of mitral cells
g2m         = 10		// 
ngranx      = nmitx*g2m		// 1st dimension of granule cell array
ngrany      = nmity*g2m		// 2nd dimension of granule cell array
mitsep      = 1.0		// um	// mitral cell separation
gransep     = mitsep/g2m	// granule cell separation
seed        = 0			// seed for random number generator
rmax        = ngranx*0.5	// maximum range of synaptic connections
synpermit   = 200		// synapses per mitral cell
thresh      = -10       // mV	// threshold for detecting spikes
edelay      = 1.8       // ms	// time delay of mitral->granule synapses
conducdel   = 0		// ms	// conduction delay in secondary dendrites
idelay      = 0.6       // ms	// time delat of granule->mitral synapses
AMPAweight  = 1e-3	// uS	// }
NMDAweight  = 7e-4	// uS	// } synaptic conductances
iweight     = 6e-4	// uS	// }
maxinput    = 1.0	// nA	// measure of `odour intensity'
nof         = 10        	// number of `odour features'
diffglom    = 0			// } 0 - cells are in the same glomerulus
				// } 1 - cells are in different glomeruli
NMDArisetime = 30	// ms	// rise-time of NMDA conductance
NMDAdecay    = 343      // ms   // NMDA decay time constant
NMDArise     = 52       // ms   // NMDA rise time constant
mgconc 	    = 0		// mM	// external magnesium ion concentration
strdef fileroot
sprint(fileroot,"ddi_baseline")	// root for output filenames
odournumber = 1			// odour file
inputnumber = 1			// fixed input file
tstop	    = 1500	// ms	// total simulation time
ttrans	    = 0		// ms   // when calculating statistics, ignore
				// spikes occuring before this time
cvode.active(0)
dt 	    = 0.05	//ms

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