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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;
proc celldef() {

create soma

proc geom() {
 soma {
  L = 10
  diam = 10
  nseg = 1

proc biophys() {
 soma {
  Ra = 150
  cm = 2.4

  insert leak
  gmax_leak = gleak
  e_leak = -60

  insert NaF
  insert NaP
  ena = 50

  insert Kv2
  insert Kv3
  insert Kv4f
  insert Kv4s
  insert KCNQ
  ek = -90

  insert CaH
  e_CaH = 130

  insert HCN
  e_HCN = -30

  insert SK

  insert Calcium

 soma {
  gmax_NaF = gNaF
  gmax_NaP = gNaP
  gmax_Kv2 = gKv2
  gmax_Kv3 = gKv3
  gmax_Kv4f = gKv4f
  gmax_Kv4s = gKv4s
  gmax_KCNQ = gKCNQ
  gmax_CaH = gCaH
  gmax_HCN = gHCN
  gmax_SK = gSK
  gmax_leak = gleak

access soma


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