network.cpp
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	#include <iostream>
	#include <vector>
	#include <iomanip>
	#include "network.hpp"
	#include "constant.h"
	#include <tgmath.h>


	Network::Network() {}

	Network::~Network() {
	for (auto& neu : neurones_) {
	delete neu;
	neu=nullptr;
	}
	neurones_.clear();
	}


	void Network::addNeurone(Neurone* neurone) {

	if (neurone != nullptr) {
	neurones_.push_back(neurone);
	}

	}

	void Network::update(unsigned int time_f, std::ofstream& donnees) {
	unsigned int t(0);

	while (t < time_f) {
	if (not neurones_.empty()) {
	for (auto& neu : neurones_) {
	bool spike(false);
	spike=neu->update(t);
	///1) Verify for each neurone if it spikes

	if (spike) {
	for (auto& target : neurones_) {
	if (target!=neu) {
	target->receive(t+synaptic_delay);
	}
	///2) if it spikes, transmit to the neurone connected the information
	}
	}
	}
	}
	this->print(donnees,t);
	++t;
	}
	}


	void Network::print(std::ofstream& donnees, unsigned int t) {
	for (auto neu : neurones_) {
	donnees << std::setw(20) << neu->getMembranePotential()*mV;
	donnees << std::setw(20) << (t)DeltaTimems << std::endl; //maybe t+1
	}
	donnees<<std::endl;
	}


	void Network::printSpikeTimes(std::ofstream& donnees) {
	for (unsigned int i(0); i < 2; ++i) {
	donnees << std::endl;
	if((neurones_[i]->getSpikeTimes()).empty()) {
	donnees << "Pas de spike" << std::endl;
	} else {
	for (unsigned int j(0);j<(neurones_[i]->getSpikeTimes()).size();++j) {
	donnees << "Spike " << std::setw(5) << i+1;
	donnees << std::setw(10) << (neurones_[i]->getSpikeTimes())[j]msDeltaTime << std::endl;
	}
	}
	}
	}