model of DCN pyramidal neuron
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TITLE jsr.mod VCN conductances
COMMENT
Ih for VCN neurons - average from several studies in auditory neurons
Implementation by Paul B. Manis, April (JHU) and Sept, (UNC)1999.
revised 2/28/04 pbm
pmanis@med.unc.edu
Modifed implementation; includes all temperature scaling, passes modlunit
7/10/2014 pbm
ENDCOMMENT
UNITS {
(mA) = (milliamp)
(mV) = (millivolt)
(nA) = (nanoamp)
}
NEURON {
THREADSAFE
SUFFIX ihvcn
NONSPECIFIC_CURRENT i
RANGE gbar, gh, i, eh
GLOBAL rinf, rtau
}
INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
PARAMETER {
v (mV)
dt (ms)
gbar = 0.00318 (mho/cm2) <0,1e9>
q10tau = 3.0
}
STATE {
r
}
ASSIGNED {
celsius (degC)
gh (mho/cm2)
eh (mV)
i (mA/cm2)
rinf
rtau (ms)
q10 ()
}
BREAKPOINT {
SOLVE states METHOD cnexp
gh = gbar*r
i = gh*(v - eh)
}
INITIAL {
q10 = q10tau^((celsius - 22)/10 (degC)) : if you don't like room temp, it can be changed!
rates(v)
r = rinf
}
DERIVATIVE states { :Computes state variables m, h, and n
rates(v) : at the current v and dt.
r' = (rinf - r)/rtau
}
PROCEDURE rates(v (mV)) { :Computes rate and other constants at current v.
:Call once from HOC to initialize inf at resting v.
rinf = 1 / (1+exp((v + 76) / 7 (mV)))
rtau = (100000 (ms)/ (237*exp((v+60) / 12 (mV)) + 17*exp(-(v+60) / 14 (mV)))) + 25
rtau = rtau/q10
}