void TripletConnection::init(AurynFloat tau_hom, AurynFloat eta, AurynFloat kappa, AurynFloat maxweight)
{
if ( dst->get_post_size() == 0 ) return;
A3_plus = 6.5e-3;
A3_plus *= eta;
tau_plus = 16.8e-3;
tau_minus = 33.7e-3;
tau_long = 114e-3;
tau_homeostatic = tau_hom;
tr_pre = src->get_pre_trace(tau_plus);
// tr_pre = new LinearTrace(src->get_pre_size(),tau_plus);
tr_post = dst->get_post_trace(tau_minus);
tr_post2 = dst->get_post_trace(tau_long);
tr_post_hom = dst->get_post_trace(tau_hom);
hom_fudge = A3_plus*tau_plus*tau_long/(tau_minus)/kappa/tau_hom/tau_hom;
set_min_weight(0.0);
set_max_weight(maxweight);
stdp_active = true;
}
void TripletConnection::init(AurynFloat tau_hom, AurynFloat eta, AurynFloat kappa, AurynFloat maxweight)
{
if ( dst->get_post_size() == 0 ) return; // avoids to run this code on silent nodes with zero post neurons.
/* Initialization of plasticity parameters. */
A3_plus = 6.5e-3;
A3_plus *= eta;
tau_plus = 16.8e-3;
tau_minus = 33.7e-3;
tau_long = 114e-3;
tau_homeostatic = tau_hom;
/* Initialization of presynaptic traces */
tr_pre = src->get_pre_trace(tau_plus);
/* Initialization of postsynaptic traces */
tr_post = dst->get_post_trace(tau_minus);
tr_post2 = dst->get_post_trace(tau_long);
tr_post_hom = dst->get_post_trace(tau_hom);
hom_fudge = A3_plus*tau_plus*tau_long/(tau_minus)/kappa/tau_hom/tau_hom;
/* Set min/max weight values. */
set_min_weight(0.0);
set_max_weight(maxweight);
stdp_active = true;
}
