void SynChan::normalizeGbar()
{
if ( doubleEq( tau2_, 0.0 ) ) {
// norm_ = 1.0;
norm_ = SynChanBase::getGbar();
} else {
if ( doubleEq( tau1_, tau2_ ) ) {
norm_ = SynChanBase::getGbar() * SynE() / tau1_;
} else {
double tpeak = tau1_ * tau2_ * log( tau1_ / tau2_ ) /
( tau1_ - tau2_ );
norm_ = SynChanBase::getGbar() * ( tau1_ - tau2_ ) /
( tau1_ * tau2_ * (
exp( -tpeak / tau1_ ) - exp( -tpeak / tau2_ )
));
}
}
if ( normalizeWeights_ && getNumSynapses() > 0 )
norm_ /= static_cast< double >( getNumSynapses() );
}
void SynChan::normalizeGbar()
{
if ( doubleEq( tau2_, 0.0 ) ) {
// norm_ = 1.0;
norm_ = ChanCommon::getGbar();
} else {
if ( doubleEq( tau1_, tau2_ ) ) {
norm_ = ChanCommon::getGbar() * SynE() / tau1_;
} else {
double tpeak = tau1_ * tau2_ * log( tau1_ / tau2_ ) /
( tau1_ - tau2_ );
norm_ = ChanCommon::getGbar() * ( tau1_ - tau2_ ) /
( tau1_ * tau2_ * (
exp( -tpeak / tau1_ ) - exp( -tpeak / tau2_ )
));
}
}
/*
* Can't handle at this time. Simple but tedious to implement.
if ( normalizeWeights_ && getNumSynapses() > 0 )
norm_ /= static_cast< double >( getNumSynapses() );
*/
}
