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NeuroProject/Src/network.cpp
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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::initialize() {
for (size_t i(0); i < Ne; ++i) {
neurones_.push_back(new Neurone(Excitatory));
}
for (size_t i(0); i < Ni; ++i) {
neurones_.push_back(new Neurone(Inhibitory));
}
}
void Network::addNeurone(Neurone* neurone) {
if (neurone != nullptr) {
neurones_.push_back(neurone);
}
}
void Network::update(unsigned int time_f) {
unsigned int t(0);
while (t < time_f) {
if (not neurones_.empty()) {
int delay (t+synaptic_delay);
for (auto& neu : neurones_) {
bool spike(false);
spike=neu->update(t);
// Verify for each neurone if it spikes
if (spike) {
neu->sendInformation(delay);
}
}
++t;
std::cout<<t*0.1<<std::endl;
}
}
}
void Network::printSpikeTimes(std::ofstream& donnees, int time_f) {
std::vector<std::vector<int>> AllSpikeTimes = std::vector<std::vector<int>> (time_f);
for(size_t i(0); i < neurones_.size(); ++i) {
if (not (neurones_[i]->getStatus()==Inhibitory)) {
if (neurones_[i]->getSpikeTimes().empty()) {
//We do nothing
} else {
for(size_t j(0); j < (neurones_[i]->getSpikeTimes()).size(); ++j) {
AllSpikeTimes[(neurones_[i]->getSpikeTimes())[j]].push_back(i);
}
}
}
}
char tab = '\t';
unsigned int i(0);
for(auto SpikeTime : AllSpikeTimes) {
for (auto neu : SpikeTime) {
donnees << i << tab << neu << std::endl;
}
++i;
}
}
void Network::ConnectEachNeurone() {
for (size_t i(0); i < neurones_.size(); ++i) {
neurones_[i]->MakeConnections(neurones_,i);
}
}
std::vector<Neurone*>& Network::getNeurones() {
return neurones_;
}
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