/***************************************************************************
* Neuron.h *
* ------------------- *
* copyright : (C) 2009 by Jesus Garrido and Richard Carrillo *
* email : jgarrido@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 NEURON_H_
#define NEURON_H_
/*!
* \file Neuron.h
*
* \author Jesus Garrido
* \author Richard Carrido
* \date August 2008
*
* This file declares a class which abstracts a spiking neuron behaviour.
*/
#include <math.h>
#include <vector>
#include "../simulation/Configuration.h"
#include "../simulation/PrintableObject.h"
#include "../../include/spike/NeuronPropagationDelayStructure.h"
using namespace std;
class NeuronModel;
class VectorNeuronState;
class Interconnection;
class EventQueue;
class InternalSpike;
class PropagatedSpike;
class Spike;
/*!
* \class Neuron
*
* \brief Spiking neuron
*
* This class abstract the behaviour of a neuron in a spiking neural network.
* It includes network characteristics as index in the network or input and output
* connections and spiking characteristics as the neural model, the current state,
* the last updated time, or the spike prediction.
*
* \author Jesus Garrido
* \author Richard Carrillo
* \date August 2008
*/
class Neuron : public PrintableObject {
private:
/*!
* \brief OpenMP associated thread.
*/
int OpenMP_queue_index;
/*!
* \brief Neuron associated model.
*/
NeuronModel * type;
/*!
* \brief Neuron index into the network neurons.
*/
long int index;
/*!
* \brief Neuron index into the Neuron State Vector.
*/
long int index_VectorNeuronState;
/*!
* \brief Neuron state variables.
*/
VectorNeuronState * state;
/*!
* Output connections (divided in vector for each OpenMP thread).
*/
Interconnection*** OutputConnections;
/*!
* Output Connection number (divided in vector for each OpenMP thread).
*/
unsigned long * OutputConNumber;
/*!
* Input connections with asssociated postsynaptic learning.
*/
Interconnection** InputLearningConnectionsWithPostSynapticLearning;
/*!
* Input connections without asssociated postsynaptic learning.
*/
Interconnection** InputLearningConnectionsWithoutPostSynapticLearning;
/*!
* Input Connection number with presynpatic learning.
*/
unsigned int InputConLearningNumberWithPostSynaptic;
/*!
* Input Connection number without presynpatic learning.
*/
unsigned int InputConLearningNumberWithoutPostSynaptic;
/*!
* It tells if neuron activity will be registered.
*/
bool monitored;
/*!
* Counts the number of fired spikes.
*/
long spikeCounter;
/*!
* It tells if neuron is output neuron
*/
bool isOutput;
int N_TriggerConnection;
Interconnection** TriggerConnection;
public:
/*!
* Propagation delay structure.
*/
NeuronPropagationDelayStructure * PropagationStructure;
/*!
* \brief Default constructor without parameters.
*
* It generates a new default neuron object without input connections, output connections
* or neuron model. The neuron will be initialized with the default values.
*/
Neuron();
/*!
* \brief Default destructor.
*
* It deletes a Neuron object (but not the associated neuron type).
*/
~Neuron();
/*!
* \brief It initializes the neuron values.
*
* It initializes a neuron object with neuron model Type and neuron index NewIndex.
* Moreover, it initializes the neuron variables with the model initial values.
*
* \param NewIndex The neuron index into the network order.
* \param Type The neuron type. It can't be null.
* \param Monitored If true, the neuron activity will be registered.
* \param IsOutput If true, the neuron activity will be send to output driver
*/
void InitNeuron(int NewIndex, int index_VectorNeuronState, NeuronModel * Type, bool Monitored, bool IsOutput, int blockIndex);
/*!
* \brief It gets the neuron index into the network.
*
* It returns the saved neuron index into the network's neurons.
*
* \return The neuron index.
*/
long int GetIndex() const;
/*!
* \brief It gets the current neuron state.
*
* It gets the current neuron state.
*
* \return The current neuron state.
*/
//VectorNeuronState * GetVectorNeuronState() const;
inline VectorNeuronState * GetVectorNeuronState() const{
return state;
}
/*!
* \brief It gets the number of inputs to the current neuron which have associated learning.
*
* It returns the number of input connections to the current neuron which have associated learning.
*
* \return The number of input connections to the current neuron with plasticity.
*/
unsigned int GetInputNumberWithPostSynapticLearning() const;
/*!
* \brief It gets the number of inputs to the current neuron which have associated learning.
*
* It returns the number of input connections to the current neuron which have associated learning.
*
* \return The number of input connections to the current neuron with plasticity.
*/
unsigned int GetInputNumberWithoutPostSynapticLearning() const;
/*!
* \brief It gets the number of output from the current neuron.
*
* It returns the number of output connections from the current neuron.
*
* \return The number of output connections from the current neuron.
*/
//unsigned int GetOutputNumber(int index) const;
inline unsigned int GetOutputNumber(int index) const{
return this->OutputConNumber[index];
}
/*!
* \brief It gets the input connection at an specified index.
*
* It returns the input connection at index index.
*
* \param index The index of the input connection what we want to get.
* \return The input connection of index index.
*/
Interconnection * GetInputConnectionWithPostSynapticLearningAt(unsigned int index) const;
/*!
* \brief It gets the input connection at an specified index.
*
* It returns the input connection at index index.
*
* \param index The index of the input connection what we want to get.
* \return The input connection of index index.
*/
Interconnection * GetInputConnectionWithoutPostSynapticLearningAt(unsigned int index) const;
/*!
* \brief It sets the input connections which have associated learning.
*
* It sets the input connections which have associated learning.
*
* \param Connection The input connections to set. The memory will be released within the class destructor.
* \param NumberOfConnections The number of input connections in the first parameter.
*/
void SetInputConnectionsWithPostSynapticLearning(Interconnection ** Connections, unsigned int NumberOfConnections);
/*!
* \brief It sets the input connections which have associated learning.
*
* It sets the input connections which have associated learning.
*
* \param Connection The input connections to set. The memory will be released within the class destructor.
* \param NumberOfConnections The number of input connections in the first parameter.
*/
void SetInputConnectionsWithoutPostSynapticLearning(Interconnection ** Connections, unsigned int NumberOfConnections);
/*!
* \brief It gets the output connection at an specified index.
*
* It returns the output connection at index index.
*
* \param index The index of the output connection what we want to get.
* \return The output connection of index index.
*/
//Interconnection * GetOutputConnectionAt(unsigned int index1, unsigned int index2) const;
inline Interconnection * GetOutputConnectionAt(unsigned int index1, unsigned int index2) const{
return OutputConnections[index1][index2];
}
inline Interconnection ** GetOutputConnectionAt(unsigned int index1) const{
return OutputConnections[index1];
}
/*!
* \brief It sets the output connections from this neuron.
*
* It sets the output connection array.
*
* \param Connection The output connections to set. The memory will be released within the class destructor.
* \param NumberOfConnections The number of input connections in the first parameter.
*/
void SetOutputConnections(Interconnection *** Connections, unsigned long * NumberOfConnections);
/*!
* \brief It checks if the neuron has some output connection.
*
* It checks if the number of output connections is greater than 0.
*
* \return True if the neuron has some output connection. False in other case.
*/
bool IsOutputConnected(int index) const;
/*!
* \brief It checks if the neuron is monitored.
*
* It checks if the neuron activity will be registered.
*
* \return True if the neuron is monitored. False in other case.
*/
//bool IsMonitored() const;
inline bool IsMonitored() const{
return this->monitored;
}
/*!
* \brief It checks if the neuron is output.
*
* It checks if the neuron activity is output.
*
* \return True if the neuron is output. False in other case.
*/
bool IsOutput() const;
/*!
* \brief It gets the neuron type.
*
* It returns the neuron type of the current object.
*
* \return The neuron type of the current object.
*/
//NeuronModel * GetNeuronModel() const;
inline NeuronModel * GetNeuronModel() const{
return type;
}
/*!
* \brief It prints the neuron info.
*
* It prints the current neuron characteristics.
*
* \param out The stream where it prints the information.
*
* \return The stream after the printer.
*/
virtual ostream & PrintInfo(ostream & out);
/*!
* \brief Sets the spike counter.
*
* Sets the neuron spike counter. For LSAM.
*
* \param n is the value that the spike counter should be set to.
*/
void SetSpikeCounter(long n);
/*!
* \brief Number of spikes fired.
*
* Number of spikes fired by this neuron. For LSAM.
*
* \return The number of spikes fired by the neuron.
*/
long GetSpikeCounter();
/*!
* \brief Sets the neuron index into the VectorNeuronState.
*
* Sets the neuron index into the VectorNeuronState.
*
* \param Index is the value that Index_VectorNeuronState should be set to.
*/
void SetIndex_VectorNeuronState(long int Index);
/*!
* \brief It gets the neuron index into the VectorNeuronState.
*
* It returns the saved neuron index into the VectorNeuronState.
*
* \return The neuron index.
*/
//long GetIndex_VectorNeuronState();
inline long GetIndex_VectorNeuronState(){
return index_VectorNeuronState;
}
/*!
* \brief It sets the OpenMP queue index to which this neuron belong.
*
* It sets the OpenMP queue index to which this neuron belong.
*
* \paramt OpenMP queue index.
*/
void set_OpenMP_queue_index(int index);
/*!
* \brief It gets the OpenMP queue index to which this neuron belong.
*
* It gets the OpenMP queue index to which this neuron belong.
*
* \return The OpenMP queue index.
*/
inline int get_OpenMP_queue_index(){
return OpenMP_queue_index;
}
void CalculateOutputDelayStructure();
void CalculateOutputDelayIndex();
inline Interconnection ** GetTriggerConnection() const{
return this->TriggerConnection;
}
inline int GetN_TriggerConnection() const{
return this->N_TriggerConnection;
}
};
#endif /*NEURON_H_*/
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