"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.
Model Type: Realistic Network
Region(s) or Organism(s): Basal ganglia
Cell Type(s): Subthalamic nucleus principal GABA cell; Globus pallidus principal GABA cell; Subthalamus nucleus projection neuron; Globus pallidus neuron
Currents: I K; I Na,t; I T low threshold; I Calcium; I_AHP
Model Concept(s): Activity Patterns; Spatio-temporal Activity Patterns; Parkinson's
Simulation Environment: XPPAUT; NEURON; Python
Implementer(s): Terman, David [terman at math.ohio-state.edu]; Malone, Taylor
References:
Terman D, Rubin JE, Yew AC, Wilson CJ. (2002). Activity patterns in a model for the subthalamopallidal network of the basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]