/***************************************************************************
* RK2.h *
* ------------------- *
* copyright : (C) 2013 by Francisco Naveros *
* email : fnaveros@atc.ugr.es *
***************************************************************************/
/***************************************************************************
* *
* This program 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 3 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
#ifndef RK2_H_
#define RK2_H_
/*!
* \file RK2.h
*
* \author Francisco Naveros
* \date May 2013
*
* This file declares a class which implement the second order Runge Kutta integration method. This class implement a fixed step
* integration method.
*/
#include "./FixedStep.h"
class TimeDrivenNeuronModel;
/*!
* \class RK2
*
* \brief RK2 integration methods in CPU
*
* This class abstracts the behavior of a second order Runge Kutta integration method for neurons in a
* time-driven spiking neural network.
* It includes internal model functions which define the behavior of integration methods
* (initialization, calculate next value, ...).
*
* \author Francisco Naveros
* \date May 2013
*/
class RK2 : public FixedStep {
protected:
public:
/*!
* \brief Constructor with parameters.
*
* It generates a new second order Runge-Kutta object.
*
* \param NewModel time driven neuron model associated to this integration method.
* \param N_neuronStateVariables total number of state variable for each neuron
* \param N_differentialNeuronState number of state variables that are diffined by a differential ecuation.
* \param N_timeDependentNeuronState number of state variables that are not diffined by a differential ecuation.
*/
RK2(TimeDrivenNeuronModel * NewModel, int N_neuronStateVariables, int N_differentialNeuronState, int N_timeDependentNeuronState);
/*!
* \brief Class destructor.
*
* It destroys an object of this class.
*/
~RK2();
/*!
* \brief It calculate the new neural state variables for a defined elapsed_time.
*
* It calculate the new neural state variables for a defined elapsed_time.
*
* \param index for method with memory (e.g. BDF1ad, BDF2, BDF3, etc.).
* \param NeuronState neuron state variables of one neuron.
* \param elapsed_time integration time step.
*/
virtual void NextDifferentialEcuationValue(int index, float * NeuronState, float elapsed_time);
/*!
* \brief It prints the integration method info.
*
* It prints the current integration method characteristics.
*
* \param out The stream where it prints the information.
*
* \return The stream after the printer.
*/
virtual ostream & PrintInfo(ostream & out);
/*!
* \brief It initialize the state of the integration method for method with memory (e.g. BDF1ad, BDF2, BDF3, etc.).
*
* It initialize the state of the integration method for method with memory (e.g. BDF1ad, BDF2, BDF3, etc.).
*
* \param N_neuron number of neurons in the neuron model.
* \param inicialization vector with initial values.
*/
void InitializeStates(int N_neurons, float * initialization){};
/*!
* \brief It reset the state of the integration method for method with memory (e.g. BDF1ad, BDF2, BDF3, etc.).
*
* It reset the state of the integration method for method with memory (e.g. BDF1ad, BDF2, BDF3, etc.).
*
* \param index indicate witch neuron must be reseted.
*/
void resetState(int index){};
};
#endif /* RK2_H_ */