Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)

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Accession:182758
"Based on recent experimental data, we have developed a conductance-based computational network model of the subthalamic nucleus and the external segment of the globus pallidus in the indirect pathway of the basal ganglia. Computer simulations and analysis of this model illuminate the roles of the coupling architecture of the network, and associated synaptic conductances, in modulating the activity patterns displayed by this network. Depending on the relationships of these coupling parameters, the network can support three general classes of sustained firing patterns: clustering, propagating waves, and repetitive spiking that may show little regularity or correlation. ...". Terman's XPP code and a partial implementation by Taylor Malone in NEURON and python are included.
Reference:
1 . Terman D, Rubin JE, Yew AC, Wilson CJ (2002) Activity patterns in a model for the subthalamopallidal network of the basal ganglia. J Neurosci 22:2963-76 [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): Subthalamic nucleus principal cell; Globus pallidus principal cell; Subthalamus nucleus projection neuron; Globus pallidus neuron;
Channel(s): I K; I Na,t; I T low threshold; I Calcium; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: XPP; NEURON; Python;
Model Concept(s): Activity Patterns; Spatio-temporal Activity Patterns; Parkinson's;
Implementer(s): Terman, David [terman at math.ohio-state.edu]; Malone, Taylor ;
Search NeuronDB for information about:  Globus pallidus principal cell; Subthalamic nucleus principal cell; I Na,t; I T low threshold; I K; I Calcium; I_AHP;
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