/*
* iaf_cond_exp_bias.h
*
* This file is part of NEST.
*
* Copyright (C) 2004 The NEST Initiative
*
* NEST is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 2 of the License, or
* (at your option) any later version.
*
* NEST is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with NEST. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef IAF_COND_EXP_BIAS_H
#define IAF_COND_EXP_BIAS_H
#include "config.h"
#ifdef HAVE_GSL
#include "nest.h"
#include "event.h"
#include "archiving_node.h"
#include "ring_buffer.h"
#include "connection.h"
#include "universal_data_logger.h"
#include "recordables_map.h"
#include <gsl/gsl_errno.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_odeiv.h>
/* BeginDocumentation
Name: iaf_cond_exp_bias - Simple conductance based leaky integrate-and-fire neuron model.
Description:
iaf_cond_exp_bias is an implementation of a spiking neuron using IAF dynamics with
conductance-based synapses. Incoming spike events induce a post-synaptic change
of conductance modelled by an exponential function. The exponential function
is normalised such that an event of weight 1.0 results in a peak conductance of 1 nS.
Parameters:
The following parameters can be set in the status dictionary.
V_m double - Membrane potential in mV
E_L double - Leak reversal potential in mV.
C_m double - Capacity of the membrane in pF
t_ref double - Duration of refractory period in ms.
V_th double - Spike threshold in mV.
V_reset double - Reset potential of the membrane in mV.
E_ex double - Excitatory reversal potential in mV.
E_in double - Inhibitory reversal potential in mV.
g_L double - Leak conductance in nS;
tau_syn_ex double - Time constant of the excitatory synaptic exponential function in ms.
tau_syn_in double - Time constant of the inhibitory synaptic exponential function in ms.
I_e double - Constant external input current in pA.
Sends: SpikeEvent
Receives: SpikeEvent, CurrentEvent, DataLoggingRequest
References:
Meffin, H., Burkitt, A. N., & Grayden, D. B. (2004). An analytical
model for the large, fluctuating synaptic conductance state typical of
neocortical neurons in vivo. J. Comput. Neurosci., 16, 159–175.
Author: Sven Schrader
SeeAlso: iaf_psc_delta, iaf_psc_exp, iaf_cond_exp_bias
*/
namespace mynest
{
/**
* Function computing right-hand side of ODE for GSL solver.
* @note Must be declared here so we can befriend it in class.
* @note Must have C-linkage for passing to GSL. Internally, it is
* a first-class C++ function, but cannot be a member function
* because of the C-linkage.
* @note No point in declaring it inline, since it is called
* through a function pointer.
* @param void* Pointer to model neuron instance.
*/
extern "C"
int iaf_cond_exp_bias_dynamics (double, const double*, double*, void*);
class iaf_cond_exp_bias : public nest::Archiving_Node
{
public:
typedef Node base;
iaf_cond_exp_bias();
iaf_cond_exp_bias(const iaf_cond_exp_bias&);
~iaf_cond_exp_bias();
/**
* Import sets of overloaded virtual functions.
* We need to explicitly include sets of overloaded
* virtual functions into the current scope.
* According to the SUN C++ FAQ, this is the correct
* way of doing things, although all other compilers
* happily live without.
*/
using nest::Node::connect_sender;
using nest::Node::handle;
nest::port check_connection(nest::Connection&, nest::port);
void handle(nest::SpikeEvent &);
void handle(nest::CurrentEvent &);
void handle(nest::DataLoggingRequest &);
nest::port connect_sender(nest::SpikeEvent &, nest::port);
nest::port connect_sender(nest::CurrentEvent &, nest::port);
nest::port connect_sender(nest::DataLoggingRequest &, nest::port);
void get_status(DictionaryDatum &) const;
void set_status(const DictionaryDatum &);
private:
void init_state_(const Node& proto);
void init_buffers_();
void calibrate();
void update(nest::Time const &, const nest::long_t, const nest::long_t);
// END Boilerplate function declarations ----------------------------
// Friends --------------------------------------------------------
// make dynamics function quasi-member
friend int iaf_cond_exp_bias_dynamics(double, const double*, double*, void*);
// The next two classes need to be friends to access the State_ class/member
friend class nest::RecordablesMap<iaf_cond_exp_bias>;
friend class nest::UniversalDataLogger<iaf_cond_exp_bias>;
private:
// ----------------------------------------------------------------
//! Model parameters
struct Parameters_ {
double_t V_th_; //!< Threshold Potential in mV
double_t V_reset_; //!< Reset Potential in mV
double_t t_ref_; //!< Refractory period in ms
double_t g_L; //!< Leak Conductance in nS
double_t C_m; //!< Membrane Capacitance in pF
double_t E_ex; //!< Excitatory reversal Potential in mV
double_t E_in; //!< Inhibitory reversal Potential in mV
double_t E_L; //!< Leak reversal Potential (aka resting potential) in mV
double_t tau_synE; //!< Synaptic Time Constant Excitatory Synapse in ms
double_t tau_synI; //!< Synaptic Time Constant for Inhibitory Synapse in ms
double_t I_e; //!< Constant Current in pA
nest::double_t tau_j;
nest::double_t tau_e;
nest::double_t tau_p;
nest::double_t fmax;
nest::double_t gain;
nest::double_t epsilon;
nest::double_t K;
Parameters_(); //!< Sets default parameter values
void get(DictionaryDatum&) const; //!< Store current values in dictionary
void set(const DictionaryDatum&); //!< Set values from dicitonary
};
public:
// ----------------------------------------------------------------
/**
* State variables of the model.
* @note Copy constructor and assignment operator required because
* of C-style array.
*/
struct State_ {
//! Symbolic indices to the elements of the state vector y
enum StateVecElems { V_M = 0,
G_EXC,
G_INH,
Z_J,
E_J,
P_J,
I_BIAS,
STATE_VEC_SIZE };
nest::double_t y_[STATE_VEC_SIZE]; //!< neuron state, must be C-array for GSL solver
nest::int_t r_; //!< number of refractory steps remaining
nest::double_t epsilon;
nest::double_t K;
State_(const Parameters_&); //!< Default initialization
State_(const State_&);
State_& operator=(const State_&);
void get(DictionaryDatum&) const;
void set(const DictionaryDatum&, const Parameters_&);
};
// ----------------------------------------------------------------
private:
/**
* Buffers of the model.
*/
struct Buffers_ {
Buffers_(iaf_cond_exp_bias&); //!<Sets buffer pointers to 0
Buffers_(const Buffers_&, iaf_cond_exp_bias&); //!<Sets buffer pointers to 0
//! Logger for all analog data
nest::UniversalDataLogger<iaf_cond_exp_bias> logger_;
/** buffers and sums up incoming spikes/currents */
nest::RingBuffer spike_exc_;
nest::RingBuffer spike_inh_;
nest::RingBuffer currents_;
/** GSL ODE stuff */
gsl_odeiv_step* s_; //!< stepping function
gsl_odeiv_control* c_; //!< adaptive stepsize control function
gsl_odeiv_evolve* e_; //!< evolution function
gsl_odeiv_system sys_; //!< struct describing system
// IntergrationStep_ should be reset with the neuron on ResetNetwork,
// but remain unchanged during calibration. Since it is initialized with
// step_, and the resolution cannot change after nodes have been created,
// it is safe to place both here.
double_t step_; //!< step size in ms
double IntegrationStep_;//!< current integration time step, updated by GSL
/**
* Input current injected by CurrentEvent.
* This variable is used to transport the current applied into the
* _dynamics function computing the derivative of the state vector.
* It must be a part of Buffers_, since it is initialized once before
* the first simulation, but not modified before later Simulate calls.
*/
double_t I_stim_;
};
// ----------------------------------------------------------------
/**
* Internal variables of the model.
*/
struct Variables_ {
nest::int_t RefractoryCounts_;
};
// Access functions for UniversalDataLogger -------------------------------
//! Read out state vector elements, used by UniversalDataLogger
template <State_::StateVecElems elem>
nest::double_t get_y_elem_() const { return S_.y_[elem]; }
nest::double_t get_epsilon_() const { return S_.epsilon; }
nest::double_t get_K_() const { return S_.K; }
// ----------------------------------------------------------------
Parameters_ P_;
State_ S_;
Variables_ V_;
Buffers_ B_;
//! Mapping of recordables names to access functions
static nest::RecordablesMap<iaf_cond_exp_bias> recordablesMap_;
};
inline
nest::port mynest::iaf_cond_exp_bias::check_connection(nest::Connection& c, nest::port receptor_type)
{
nest::SpikeEvent e;
e.set_sender(*this);
c.check_event(e);
return c.get_target()->connect_sender(e, receptor_type);
}
inline
nest::port mynest::iaf_cond_exp_bias::connect_sender(nest::SpikeEvent&, nest::port receptor_type)
{
if (receptor_type != 0)
throw nest::UnknownReceptorType(receptor_type, get_name());
return 0;
}
inline
nest::port mynest::iaf_cond_exp_bias::connect_sender(nest::CurrentEvent&, nest::port receptor_type)
{
if (receptor_type != 0)
throw nest::UnknownReceptorType(receptor_type, get_name());
return 0;
}
inline
nest::port mynest::iaf_cond_exp_bias::connect_sender(nest::DataLoggingRequest& dlr,
nest::port receptor_type)
{
if (receptor_type != 0)
throw nest::UnknownReceptorType(receptor_type, get_name());
return B_.logger_.connect_logging_device(dlr, recordablesMap_);
}
inline
void iaf_cond_exp_bias::get_status(DictionaryDatum &d) const
{
P_.get(d);
S_.get(d);
nest::Archiving_Node::get_status(d);
(*d)[nest::names::recordables] = recordablesMap_.get_list();
}
inline
void iaf_cond_exp_bias::set_status(const DictionaryDatum &d)
{
Parameters_ ptmp = P_; // temporary copy in case of errors
ptmp.set(d); // throws if BadProperty
State_ stmp = S_; // temporary copy in case of errors
stmp.set(d, ptmp); // throws if BadProperty
// We now know that (ptmp, stmp) are consistent. We do not
// write them back to (P_, S_) before we are also sure that
// the properties to be set in the parent class are internally
// consistent.
nest::Archiving_Node::set_status(d);
// if we get here, temporaries contain consistent set of properties
P_ = ptmp;
S_ = stmp;
}
} // namespace
#endif //HAVE_GSL
#endif //IAF_COND_EXP_BIAS_H
