void
nest::hh_psc_alpha_gap::init_buffers_()
{
  B_.spike_exc_.clear(); // includes resize
  B_.spike_inh_.clear(); // includes resize
  B_.currents_.clear();  // includes resize

  // allocate strucure for gap events here
  // function is called from Scheduler::prepare_nodes() before the
  // first call to update
  // so we already know which interpolation scheme to use according
  // to the properties of this neurons
  // determine size of structure depending on interpolation scheme
  // and unsigned int Scheduler::min_delay() (number of simulation time steps per min_delay step)

  // resize interpolation_coefficients depending on interpolation order
  const size_t quantity = kernel().connection_builder_manager.get_min_delay()
    * ( kernel().simulation_manager.get_prelim_interpolation_order() + 1 );

  B_.interpolation_coefficients.resize( quantity, 0.0 );

  B_.last_y_values.resize( kernel().connection_builder_manager.get_min_delay(), 0.0 );

  B_.sumj_g_ij_ = 0.0;

  Archiving_Node::clear_history();

  B_.logger_.reset();

  B_.step_ = Time::get_resolution().get_ms();
  B_.IntegrationStep_ = B_.step_;

  if ( B_.s_ == 0 )
    B_.s_ = gsl_odeiv_step_alloc( gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_step_reset( B_.s_ );

  if ( B_.c_ == 0 )
    B_.c_ = gsl_odeiv_control_y_new( 1e-6, 0.0 );
  else
    gsl_odeiv_control_init( B_.c_, 1e-6, 0.0, 1.0, 0.0 );

  if ( B_.e_ == 0 )
    B_.e_ = gsl_odeiv_evolve_alloc( State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_evolve_reset( B_.e_ );

  B_.sys_.function = hh_psc_alpha_gap_dynamics;
  B_.sys_.jacobian = NULL;
  B_.sys_.dimension = State_::STATE_VEC_SIZE;
  B_.sys_.params = reinterpret_cast< void* >( this );

  B_.I_stim_ = 0.0;
}
Esempio n. 2
0
void
nest::aeif_psc_alpha::init_buffers_()
{
  B_.spike_exc_.clear(); // includes resize
  B_.spike_inh_.clear(); // includes resize
  B_.currents_.clear();  // includes resize
  Archiving_Node::clear_history();

  B_.logger_.reset();

  B_.step_ = Time::get_resolution().get_ms();

  // We must integrate this model with high-precision to obtain decent results
  B_.IntegrationStep_ = std::min( 0.01, B_.step_ );

  if ( B_.s_ == 0 )
  {
    B_.s_ =
      gsl_odeiv_step_alloc( gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE );
  }
  else
  {
    gsl_odeiv_step_reset( B_.s_ );
  }

  if ( B_.c_ == 0 )
  {
    B_.c_ = gsl_odeiv_control_yp_new( P_.gsl_error_tol, P_.gsl_error_tol );
  }
  else
  {
    gsl_odeiv_control_init(
      B_.c_, P_.gsl_error_tol, P_.gsl_error_tol, 0.0, 1.0 );
  }

  if ( B_.e_ == 0 )
  {
    B_.e_ = gsl_odeiv_evolve_alloc( State_::STATE_VEC_SIZE );
  }
  else
  {
    gsl_odeiv_evolve_reset( B_.e_ );
  }

  B_.sys_.jacobian = NULL;
  B_.sys_.dimension = State_::STATE_VEC_SIZE;
  B_.sys_.params = reinterpret_cast< void* >( this );
  B_.sys_.function = aeif_psc_alpha_dynamics;

  B_.I_stim_ = 0.0;
}
Esempio n. 3
0
void
nest::iaf_cond_alpha::init_buffers_()
{
  Archiving_Node::clear_history();

  B_.spike_exc_.clear(); // includes resize
  B_.spike_inh_.clear(); // includes resize
  B_.currents_.clear();  // includes resize

  B_.logger_.reset();

  B_.step_ = Time::get_resolution().get_ms();
  B_.IntegrationStep_ = B_.step_;

  if ( B_.s_ == 0 )
  {
    B_.s_ =
      gsl_odeiv_step_alloc( gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE );
  }
  else
  {
    gsl_odeiv_step_reset( B_.s_ );
  }

  if ( B_.c_ == 0 )
  {
    B_.c_ = gsl_odeiv_control_y_new( 1e-3, 0.0 );
  }
  else
  {
    gsl_odeiv_control_init( B_.c_, 1e-3, 0.0, 1.0, 0.0 );
  }

  if ( B_.e_ == 0 )
  {
    B_.e_ = gsl_odeiv_evolve_alloc( State_::STATE_VEC_SIZE );
  }
  else
  {
    gsl_odeiv_evolve_reset( B_.e_ );
  }

  B_.sys_.function = iaf_cond_alpha_dynamics;
  B_.sys_.jacobian = NULL;
  B_.sys_.dimension = State_::STATE_VEC_SIZE;
  B_.sys_.params = reinterpret_cast< void* >( this );

  B_.I_stim_ = 0.0;
}
void
nest::ht_neuron::init_buffers_()
{
  // Reset spike buffers.
  for ( std::vector< RingBuffer >::iterator it = B_.spike_inputs_.begin();
        it != B_.spike_inputs_.end();
        ++it )
  {
    it->clear(); // include resize
  }

  B_.currents_.clear(); // include resize

  B_.logger_.reset();

  Archiving_Node::clear_history();

  B_.step_ = Time::get_resolution().get_ms();
  B_.IntegrationStep_ = B_.step_;

  if ( B_.s_ == 0 )
    B_.s_ =
      gsl_odeiv_step_alloc( gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_step_reset( B_.s_ );

  if ( B_.c_ == 0 )
    B_.c_ = gsl_odeiv_control_y_new( 1e-3, 0.0 );
  else
    gsl_odeiv_control_init( B_.c_, 1e-3, 0.0, 1.0, 0.0 );

  if ( B_.e_ == 0 )
    B_.e_ = gsl_odeiv_evolve_alloc( State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_evolve_reset( B_.e_ );

  B_.sys_.function = ht_neuron_dynamics;
  B_.sys_.jacobian = 0;
  B_.sys_.dimension = State_::STATE_VEC_SIZE;
  B_.sys_.params = reinterpret_cast< void* >( this );

  B_.I_stim_ = 0.0;
}
void
nest::iaf_cond_alpha_mc::init_buffers_()
{
  B_.spikes_.resize( NUM_SPIKE_RECEPTORS );
  for ( size_t n = 0; n < NUM_SPIKE_RECEPTORS; ++n )
    B_.spikes_[ n ].clear(); // includes resize

  B_.currents_.resize( NUM_CURR_RECEPTORS );
  for ( size_t n = 0; n < NUM_CURR_RECEPTORS; ++n )
    B_.currents_[ n ].clear(); // includes resize

  B_.logger_.reset();
  Archiving_Node::clear_history();

  B_.step_ = Time::get_resolution().get_ms();
  B_.IntegrationStep_ = B_.step_;

  if ( B_.s_ == 0 )
    B_.s_ = gsl_odeiv_step_alloc( gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_step_reset( B_.s_ );

  if ( B_.c_ == 0 )
    B_.c_ = gsl_odeiv_control_y_new( 1e-3, 0.0 );
  else
    gsl_odeiv_control_init( B_.c_, 1e-3, 0.0, 1.0, 0.0 );

  if ( B_.e_ == 0 )
    B_.e_ = gsl_odeiv_evolve_alloc( State_::STATE_VEC_SIZE );
  else
    gsl_odeiv_evolve_reset( B_.e_ );

  B_.sys_.function = iaf_cond_alpha_mc_dynamics;
  B_.sys_.jacobian = NULL;
  B_.sys_.dimension = State_::STATE_VEC_SIZE;
  B_.sys_.params = reinterpret_cast< void* >( this );

  for ( size_t n = 0; n < NCOMP; ++n )
    B_.I_stim_[ n ] = 0.0;
}
Esempio n. 6
0
  void nest::hh_cond_exp_traub::init_buffers_()
  {
    B_.spike_exc_.clear();          // includes resize
    B_.spike_inh_.clear();          // includes resize
    B_.currents_.clear();           // includes resize
    Archiving_Node::clear_history();

    B_.logger_.reset();

    B_.step_ = Time::get_resolution().get_ms();
    B_.IntegrationStep_ = B_.step_;

    B_.I_stim_ = 0.0;

    static const gsl_odeiv_step_type* T1 = gsl_odeiv_step_rkf45;
  
    if ( B_.s_ == 0 )
      B_.s_ = gsl_odeiv_step_alloc (T1, State_::STATE_VEC_SIZE);
    else 
      gsl_odeiv_step_reset(B_.s_);
    
    if ( B_.c_ == 0 )  
      B_.c_ = gsl_odeiv_control_y_new (1e-3, 0.0);
    else
      gsl_odeiv_control_init(B_.c_, 1e-3, 0.0, 1.0, 0.0);
    
    if ( B_.e_ == 0 )  
      B_.e_ = gsl_odeiv_evolve_alloc(State_::STATE_VEC_SIZE);
    else 
      gsl_odeiv_evolve_reset(B_.e_);
  
    B_.sys_.function  = hh_cond_exp_traub_dynamics; 
    B_.sys_.jacobian  = 0;
    B_.sys_.dimension = State_::STATE_VEC_SIZE;
    B_.sys_.params    = reinterpret_cast<void*>(this);
  }
Esempio n. 7
0
static VALUE rb_gsl_odeiv_step_reset(VALUE obj)
{
  gsl_odeiv_step *s = NULL;
  Data_Get_Struct(obj, gsl_odeiv_step, s);
  return INT2FIX(gsl_odeiv_step_reset(s));
}
Esempio n. 8
0
void pert_ode_reset (pert_ode * po) {
    gsl_odeiv_step_reset (po->se);
	gsl_odeiv_evolve_reset (po->ee);
}