neurenv/mech/hhqt.mod
2026-02-09 15:26:37 -05:00

114 lines
2.7 KiB
Modula-2

COMMENT
This is the original Hodgkin-Huxley treatment for the set of sodium,
potassium, and leakage channels found in the squid giant axon membrane.
("A quantitative description of membrane current and its application
conduction and excitation in nerve" J.Physiol. (Lond.) 117:500-544 (1952).)
Membrane voltage is in absolute mV and has been reversed in polarity
from the original HH convention and shifted to reflect a resting potential
of -65 mV.
Remember to set a squid-appropriate temperature
(e.g. in HOC: "celsius=6.3" or in Python: "h.celsius=6.3").
See squid.hoc for an example of a simulation using this model.
SW Jaslove 6 March, 1992
ENDCOMMENT
NEURON {
SUFFIX hhqt
USEION na READ ena WRITE ina
USEION k READ ek WRITE ik
NONSPECIFIC_CURRENT il
RANGE gnabar, gkbar, gl, el, gna, gk, celsius
}
UNITS {
(mA) = (milliamp)
(mV) = (millivolt)
(S) = (siemens)
}
PARAMETER {
gnabar = .12 (S/cm2) <0,1e9>
gkbar = .036 (S/cm2) <0,1e9>
gl = .0003 (S/cm2) <0,1e9>
el = -54.3 (mV)
celsius = 29 (degC)
}
ASSIGNED {
v (mV)
ena (mV)
ek (mV)
gna (S/cm2)
gk (S/cm2)
ina (mA/cm2)
ik (mA/cm2)
il (mA/cm2)
minf hinf ninf
mtau (ms) htau (ms) ntau (ms)
}
STATE {
m h n
}
BREAKPOINT {
SOLVE states METHOD cnexp
gna = gnabar*m*m*m*h
ina = gna*(v - ena)
gk = gkbar*n*n*n*n
ik = gk*(v - ek)
il = gl*(v - el)
}
DERIVATIVE states {
rates(v)
m' = (minf-m)/mtau
h' = (hinf-h)/htau
n' = (ninf-n)/ntau
}
INITIAL {
rates(v)
m = minf
h = hinf
n = ninf
}
PROCEDURE rates(v(mV)) { :Computes rate and other constants at current v.
:Call once from HOC to initialize inf at resting v.
LOCAL alpha, beta, sum, q10
q10 = 3^((celsius - 6.3)/10)
UNITSOFF
:"m" sodium activation system
alpha = .1*vtrap(-(v+40),10)
beta = 4*exp(-(v+65)/18)
sum = alpha + beta
mtau = 1/(q10*sum)
minf = alpha/sum
:"h" sodium inactivation system
alpha = .07*exp(-(v+65)/20)
beta = 1/(exp(-(v+35)/10) + 1)
sum = alpha + beta
htau = 1/(q10*sum)
hinf = alpha/sum
:"n" potassium activation system
alpha = .01*vtrap(-(v+55),10)
beta = .125*exp(-(v+65)/80)
sum = alpha + beta
ntau = 1/(q10*sum)
ninf = alpha/sum
}
FUNCTION vtrap(x,y) { :Traps for 0 in denominator of rate eqns.
if (fabs(x/y) < 1e-6) {
vtrap = y*(1 - x/y/2)
}else{
vtrap = x/(exp(x/y) - 1)
}
}
UNITSON