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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: J Comput Neurosci. 2016 Feb 11;40(2):207–229. doi: 10.1007/s10827-016-0593-9

Table 3.

GPe neuron model equations

Current Equation Gating variables Parameters
Il gl * (vGPeEl) gl = 0.1
El = −65
INa
gNam3(vGPe)h(vGPeENa)
m=11+e(vGPe+37)10
h=11+e(vGPe+58)12
gNa = 120
ENa = 55
τh=0.05+0.271+e(vGPe+40)12
IK gK * n4 * (vGPeEK)
n=11+e(vGPe+50)14
gK = 30
EK = −80
τn=0.05+0.271+e(vGPe+40)12
It
gta3(vGPe)r(vGPeEt)
a=11+e(vGPe+57)2
r=11+e(vGPe+70)2
gt = 0.5
Et = 0
τr=15
ICa
gCas2(vGPe)(vGPeECa)
s=11+e(vGPe+35)2
gCa = 0.15
ECa = 120
Iahp
gahp(vGPeEk)(CACA+10)
gahp = 10
Eahp = −80
Isnge,ampa gsnge,ampa * (vGPeEsyn) * S
tp=td+τdτrτdτrlnτdτrf=1e(tptd)τr+e(tptd)τdS=gsyn¯f(ettdτdettdτr)
gsnge,ampa is uniformly distributed with mean = 0.15
Esyn = 0
gsyn¯=0.43
τr = 0.4
τd = 2.5
td = 2
2 STN → 1 GPe
Isnge,nmda gsnge,nmda * (vGPeEsyn) * S
tp=td+τdτrτdτrlnτdτrf=1e(tptd)τr+e(tptd)τdS=gsyn¯f(ettdτdettdτr)
gsnge,nmda is uniformly distributed with mean = 0.001
Esyn = 0
gsyn¯=0.43
τr = 2
τd = 67
td = 2
2 STN → 1 GPe
Igege ggege * (vGPeEsyn) * S
S=gsyn¯ttdτettdτ
Esyn = −85
gsyn¯=0.3
τ = 5
td = 1
2 GPe → 1 GPe
Istrgpe gstrgpe * (vGPeEsyn) * S
S=gsyn¯ttdτe(ttd)τ
gstrgpe = 0.5
Esyn = −85
gsyn¯=0.3
τ = 5
td = 5
10 Str → 1 GPe
Iappgpe 3
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