void neuron::backpropagate()
{
if(backpropagating_) return;
bool fired_recently = std::abs(current_time_ - last_fired_) < 0.003;
bool up = false;
bool down = false;
if(has_class("expected_fire") && !fired_recently)
{
std::cout << get_label() << " should have fired, didn't " << current_time_ << " " << last_fired_ << " " << (current_time_ - last_fired_) << std::endl;
up = true;
}
else if(has_class("expected_no_fire") && fired_recently)
{
std::cout << get_label() << " shouldn't have fired, did " << current_time_ << " " << last_fired_ << " " << (current_time_ - last_fired_) << std::endl;
down = true;
}
if(!up && !down)
{
std::cout << get_label() << " no change" << current_time_ << " " << last_fired_ << " " << (current_time_ - last_fired_) << std::endl;
return;
}
backpropagating_ = true;
backpropagation_time_ = current_time_;
for(auto connection : inputs_)
{
if(connection->get_presynaptic()->has_class("collector")) continue;
if(current_time_ - connection->get_presynaptic()->last_fired_ < 0.005)
{
if(up)
{
connection->get_synapse().backpropagate_up();
connection->send_signal(1);
}
else
{
connection->get_synapse().backpropagate_down();
connection->send_signal(2);
}
}
}
}
void neuron::on_action_potential_begin()
{
firing_ = true;
last_fired_ = current_time_;
for(auto connection : outputs_)
{
connection->send_signal(0);
}
if(has_class("expected_fire") || has_class("expected_no_fire"))
{
std::cout << get_label() << " " << has_class("expected_fire") << " " << has_class("expected_no_fire") << std::endl;
for(auto in_connection : inputs_)
{
for(auto sibling_connection : in_connection->get_presynaptic()->outputs_)
{
sibling_connection->get_postsynaptic()->backpropagate();
}
}
}
}
void Component::add_class(const std::string& c) {
if(css_class.empty()) css_class = " " + c + " ";
else if(!has_class(c)) css_class += c + " ";
if(style) style->update(css_class);
}
