Olfactory bulb cluster formation (Migliore et al. 2010)

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Accession:127995
Functional roles of distributed synaptic clusters in the mitral-granule cell network of the olfactory bulb.
Reference:
1 . Migliore M, Hines ML, McTavish TS, Shepherd GM (2010) Functional roles of distributed synaptic clusters in the mitral-granule cell network of the olfactory bulb. Front Integr Neurosci 4:122 [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 K;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Short-term Synaptic Plasticity; Olfaction;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]; 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; I Na,t; I K;
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migliore2010
README
ampanmda.mod
fi.mod
kamt.mod *
kdrmt.mod *
naxn.mod *
ThreshDetect.mod *
.hg_archival.txt
6.2.3.2203.spk
allsynhinton.hoc *
clear.hoc *
connect.hoc
granule.hoc
iterator.hoc
lptiter.hoc
mgrs.hoc
mitral.hoc
mosinit.hoc
net-5mt-100-900.hoc
odors.txt
parinit.hoc
pattern.hoc
perfrun.hoc
show.hoc
somesyn.hoc *
start.hoc
start.ses *
stim-odors-AB-seq.hoc
weight_movie.hoc *
weight-forfig3-bulb1.dat
weightsave.hoc
                            
setuptime = startsw()
{load_file("nrngui.hoc")}
{load_file("lptiter.hoc")}
{load_file("net-5mt-100-900.hoc")}
{load_file("stim-odors-AB-seq.hoc")}
{load_file("perfrun.hoc")}
{load_file("netparmpi.hoc")}
//if (pc.nhost == 1) { pc.nthread(4) cvode.cache_efficient(1) }
objref pnm
pnm = new ParallelNetManager(0)
{load_file("weightsave.hoc")}
{want_all_spikes()}

tstop = 60000

objref fih_progress
if (pc.id == 0) fih_progress = new FInitializeHandler(2, "cvode.event(100, \"progress()\")")
proc progress() {
	print t
	cvode.event(t + 100, "progress()")
}

//weight_snapshots(filename, starttime, interval_between_snapshots)
weight_snapshots("weight-forfig3-bulb1.dat", tstop-100, 1e9)
//weight_initialize("weight-seq-A1-B2-d200.dat")

setuptime = startsw() - setuptime
if (pc.id == 0) printf("setuptime=%g\n", setuptime)
runtime = startsw()
prun(tstop)
spike2file()
if (pc.id == 0) printf("runtime=%g\n", runtime)
{pc.runworker()}
getstat()
print_spike_stat_info()
{pc.done() quit()}

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