Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)

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Accession:127388
Basal ganglia network model of parkinsonian activity and subthalamic deep brain stimulation in non-human primates from the article Instructions are provided in the README.txt file. Contact hahnp@ccf.org if you have any questions about the implementation of the model. Please include "ModelDB - BGnet" in the subject heading.
Reference:
1 . Hahn PJ, McIntyre CC (2010) Modeling shifts in the rate and pattern of subthalamopallidal network activity during deep brain stimulation. J Comput Neurosci 28:425-41 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Subthalamus nucleus projection neuron; Globus pallidus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Dopamine; Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Bursting; Parkinson's; Deep brain stimulation;
Implementer(s): Hahn, Philip [hahnp at ccf.org];
Search NeuronDB for information about:  Dopamine; Gaba; Glutamate;
pnm.pc.runworker

objref res
res = new Vector()


// Update and save seed value
rf.wopen("randseed.txt")
rf.printf("%d\n", seedVal+1)
rf.close()

strdef fname
// use 0 as default file for modeldb auto-launch
i = 0 // xred("Enter number of launch file ", -1, 0, 999)

// NoQuit file especially made for auto-launch
if (i >= 0) {
	sprint(fname, "pBGLaunchNoQuit.%03d", i)
	print "Launching file ", fname
	load_file(fname)
}


pnm.pc.done

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