void legion_network::neuron_states(const double t, const differ_state<double> & inputs, const differ_extra<void *> & argv, differ_state<double> & outputs) {
unsigned int index = *(unsigned int *) argv[1];
const double x = inputs[0];
const double y = inputs[1];
const double p = inputs[2];
double potential_influence = heaviside(p + std::exp(-m_params.alpha * t) - m_params.teta);
double stumulus = 0.0;
if ((*m_stimulus)[index] > 0) {
stumulus = m_params.I;
}
double dx = 3.0 * x - std::pow(x, 3) + 2.0 - y + stumulus * potential_influence + m_oscillators[index].m_coupling_term + m_oscillators[index].m_noise;
double dy = m_params.eps * (m_params.gamma * (1.0 + std::tanh(x / m_params.betta)) - y);
std::vector<unsigned int> * neighbors = get_neighbors(index);
double potential = 0.0;
for (std::vector<unsigned int>::const_iterator index_iterator = neighbors->begin(); index_iterator != neighbors->end(); index_iterator++) {
unsigned int index_neighbor = *index_iterator;
potential += m_params.T * heaviside(m_oscillators[index_neighbor].m_excitatory - m_params.teta_x);
}
delete neighbors;
double dp = m_params.lamda * (1 - p) * heaviside(potential - m_params.teta_p) - m_params.mu * p;
outputs.clear();
outputs.push_back(dx);
outputs.push_back(dy);
outputs.push_back(dp);
}
void legion_network::inhibitor_state(const double t, const differ_state<double> & inputs, const differ_extra<void *> & argv, differ_state<double> & outputs) {
const double z = inputs[0];
double sigma = 0.0;
for (unsigned int index = 0; index < size(); index++) {
if (m_oscillators[index].m_excitatory > m_params.teta_zx) {
sigma = 1.0;
break;
}
}
double dz = m_params.fi * (sigma - z);
outputs.clear();
outputs.push_back(dz);
}
void legion_network::neuron_simplify_states(const double t, const differ_state<double> & inputs, const differ_extra<void *> & argv, differ_state<double> & outputs) {
unsigned int index = *(unsigned int *) argv[1];
const double x = inputs[0];
const double y = inputs[1];
double stumulus = 0.0;
if ((*m_stimulus)[index] > 0) {
stumulus = m_params.I;
}
double dx = 3.0 * x - std::pow(x, 3) + 2.0 - y + stumulus + m_oscillators[index].m_coupling_term + m_oscillators[index].m_noise;
double dy = m_params.eps * (m_params.gamma * (1.0 + std::tanh(x / m_params.betta)) - y);
outputs.clear();
outputs.push_back(dx);
outputs.push_back(dy);
}
void syncnet::phase_kuramoto_equation(const double t, const differ_state<double> & inputs, const differ_extra<void *> & argv, differ_state<double> & outputs) const {
outputs.resize(1);
outputs[0] = phase_kuramoto(t, inputs[0], argv);
}
void sync_network::adapter_phase_kuramoto(const double t, const differ_state<double> & inputs, const differ_extra<void *> & argv, differ_state<double> & outputs) {
outputs.resize(1);
outputs[0] = ((sync_network *) argv[0])->phase_kuramoto(t, inputs[0], argv);
}
