Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018)

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Accession:247310

Reference:
1 . Grado LL, Johnson MD, Netoff TI (2018) Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson's disease. PLoS Comput Biol 14:e1006606 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neural mass;
Brain Region(s)/Organism:
Cell Type(s):
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Gap Junctions:
Receptor(s):
Gene(s):
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Simulation Environment: Python;
Model Concept(s): Parkinson's;
Implementer(s):
 
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