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Phase response curve of a globus pallidal neuron (Fujita et al. 2011)

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We investigated how changes in ionic conductances alter the phase response curve (PRC) of a globus pallidal (GP) neuron and stability of a synchronous activity of a GP network, using a single-compartmental conductance-based neuron model. The results showed the PRC and the stability were influenced by changes in the persistent sodium current, the Kv3 potassium, the M-type potassium and the calcium-dependent potassium current.
1 . Fujita T, Fukai T, Kitano K (2012) Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron. J Comput Neurosci 32:539-53 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Globus pallidus neuron;
Channel(s): I Na,p; I Na,t; I A; I M; I h; I K,Ca; I Calcium; I A, slow; KCNQ1;
Gap Junctions:
Transmitter(s): Ions;
Simulation Environment: NEURON;
Model Concept(s): Synchronization; Parkinson's; Phase Response Curves;
Implementer(s): Kitano, Katsunori [kkt23219 at];
Search NeuronDB for information about:  I Na,p; I Na,t; I A; I M; I h; I K,Ca; I Calcium; I A, slow; KCNQ1; Ions;

gNaF = 0.050
gNaP = 0.0001
gKv2 = 0.0001
gKv3 = 0.010
gKv4f = 0.002
gKv4s = 0.001
gKCNQ = 0.0002
gCaH = 0.0003
gHCN = 0.0001
gSK = 0.0004
gleak = 0.000068


// point processes
// current injection
objref stim
proc set_Iapp() {
  soma stim = new IClamp(0.5)
  stim.del = 0
  stim.dur = 3000
  stim.amp = 0.0


// simulation parameters
tstop = 3000

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