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halfgapspk.mod
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halfgapspk.mod
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NEURON {
POINT_PROCESS HalfGapSpk
: gap changes its conductance when it receives a NetCon event
: it is critical that both sides of the gaps receive the same
: events at the same time.
ELECTRODE_CURRENT i
RANGE g, i, vgap, meang, meant, rg, rt, drift
THREADSAFE : Only true if every instance has its own distinct Random
POINTER donotuse : A Normal Random generator with mean 1 and var 1.
RANGE id : For polarity of rectification and testing.
: Should be equal and opposite for corresponding HalfGap
: and otherwise distinct. For proper simulation results,
: corresponding gaps should always have the same value
: of g.
RANGE gmax, gmin, vhalf : Sigmoidal voltage sensitive conductance
: parameters. See gv(x) below. The sign of id defines
: the voltage polarity. If gmax == gmin, the gap is linear
: and id is not used.
: in pargap, gmin==gmax (linear) unless gmin is 0.
}
PARAMETER {
gmax = 1 (nanosiemens)
gmin = 1 (nanosiemens)
vhalf = 0 (millivolt)
slope4 = 10 (/millivolt)
meang = 30 (nanosiemens)
meant = 1000000 (ms)
drift = 0
rg=0
rt=0
id = 0
}
ASSIGNED {
g (nanosiemens)
v (millivolt)
vgap (millivolt)
i (nanoamp)
donotuse
}
INITIAL {
}
: voltage sensitve gap conductance
: for global variable time step, should be continuous to high order so
: that performance does not suffer.
: Argument is relative voltage at the positive polarity side.
FUNCTION gv(x(millivolt))(nanosiemens) {
: sigmoid x >> vhalf means gv = gmax, x << vhalf means g = gmin
gv = (gmax - gmin)/(1 + exp(slope4*(vhalf - x))) + gmin
}
BREAKPOINT {
LOCAL x
if (gmax == gmin) { :linear gap junction
g = gmax
i = g * (vgap - v) * (.001)
}else{
: vgap > v means current is outward from this gap
if (id > 0 ) {
x = v - vgap :voltage relative to - side of gap
}else if (id < 0){
x = vgap - v : voltage relative to - side of gap
}else{
VERBATIM
assert(0);
ENDVERBATIM
}
g = gv(x)
i = g * (vgap - v) * (.001)
}
}
PROCEDURE getpar() {
gmax=mynormrand(meang/1(nanosiemens),rg)*1(nanosiemens)
if (gmax<0) {gmax=0}
if (gmin != 0) {
gmin = gmax
}
meang=meang+drift*meang
rg=rg+drift*rg
}
NET_RECEIVE (w) {
getpar() :sets gmax,=gmin and next change
}
:Separate independent but reproducible streams for each instance.
:For proper functioning, it is important that hoc Random distribution be
: Random.Random123(id1, id2) <one could use MCellRan4 instead>
: Random.normal(1,1)
: and that corresponding HalfGap have the same id1, id2
: A condition for correctness, that can be tested from hoc, is that
: g (and also Random.seq()) for corresponding HalfGap have the same value.
: If this is the case, then simulations with different numbers of processes
: and different distibutions of gids should give quantitatively identical
: results with the fixed step method and (if cvode.use_long_double(1))
: with the global variable time step method.
VERBATIM
#ifndef NRN_VERSION_GTEQ_8_2_0
double nrn_random_pick(void* r);
void* nrn_random_arg(int argpos);
#define RANDCAST
#else
#define RANDCAST (Rand*)
#endif
ENDVERBATIM
FUNCTION mynormrand(mean, var) {
VERBATIM
if (_p_donotuse) {
double x = nrn_random_pick(RANDCAST _p_donotuse);
_lmynormrand = x*_lvar + _lmean;
}else{
_lmynormrand = _lmean;
}
ENDVERBATIM
}
PROCEDURE setRandom() {
VERBATIM
{
void** pv = (void**)(&_p_donotuse);
if (ifarg(1)) {
*pv = nrn_random_arg(1);
}else{
*pv = (void*)0;
}
}
ENDVERBATIM
}