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Cortical_Soma_I_Na.mod
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Cortical_Soma_I_Na.mod
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TITLE Sodium Current for Cortical Neuron Soma
COMMENT
Model Reference:
Pospischil, M., Toledo-Rodriguez, M., Monier, C., Piwkowska, Z.,
Bal, T., Frégnac, Y., Markram, H. and Destexhe, A., 2008.
"Minimal Hodgkin–Huxley type models for different classes of
cortical and thalamic neurons."
Biological cybernetics, 99(4-5), pp.427-441.
Implemented by John Fleming - [email protected] - 06/12/18
Edits:
ENDCOMMENT
UNITS {
(mV) = (millivolt)
(mA) = (milliamp)
(S) = (siemens)
}
NEURON {
SUFFIX cortical_soma_i_na
USEION na WRITE ina : Using na ion, treat the reversal potential as a parameter and write to ik so the total k current can be tracked
RANGE g_Na, i_Na : Sodium current, specific conductance and equilibrium potential
}
PARAMETER {
ena = 50 (mV)
i_Na = 0.0 (mA/cm2) : Parameter to record this current separately to total sodium current
g_Na = 50e-3 (S/cm2)
V_T = -55(mV)
}
ASSIGNED {
v (mV)
ina (mA/cm2)
alpha_m
beta_m
alpha_h
beta_h
}
STATE {
m h
}
BREAKPOINT {
SOLVE states METHOD cnexp
ina = g_Na*m*m*m*h*(v - ena)
i_Na = ina : Record i_Na (just this sodium current) to check it is working
}
UNITSOFF
INITIAL {
settables(v) : ** Need to double check these intials are correct
m = 0
h = 0
}
DERIVATIVE states {
settables(v)
m' = alpha_m*(1-m)-beta_m*m
h' = alpha_h*(1-h)-beta_h*h
}
PROCEDURE settables(v) {
TABLE alpha_m, beta_m, alpha_h, beta_h DEPEND V_T FROM -100 TO 100 WITH 400
alpha_m = 0.32*vtrap(-(v-V_T-13),4)
beta_m = 0.28*vtrap((v-V_T-40),5)
alpha_h = 0.128*exp(-(v-V_T-17)/18)
beta_h = 4/(1+exp(-(v-V_T-40)/5))
}
FUNCTION vtrap(x,y) {
if (fabs(x/y) < 1e-6) {
vtrap = y*(1 - x/y/2)
}else{
vtrap = x/(exp(x/y)-1)
}
}
UNITSON