#include <modelSpec.h>

Public Member Functions
	NNmodel ()

	~NNmodel ()

void	setName (const string)
	Method to set the neuronal network model name. More...

void	setPrecision (FloatType)
	Set numerical precision for floating point. More...

void	setDT (double)
	Set the integration step size of the model. More...

void	setTiming (bool)
	Set whether timers and timing commands are to be included. More...

void	setSeed (unsigned int)
	Set the random seed (disables automatic seeding if argument not 0). More...

void	checkSizes (unsigned int , unsigned int , unsigned int *)

void	setGPUDevice (int)
	Method to choose the GPU to be used for the model. If "AUTODEVICE' (-1), GeNN will choose the device based on a heuristic rule. More...

string	scalarExpr (const double) const

void	setPopulationSums ()
	Set the accumulated sums of lowest multiple of kernel block size >= group sizes for all simulated groups. More...

void	finalize ()
	Declare that the model specification is finalised in modelDefinition(). More...

void	addNeuronPopulation (const string &, unsigned int, unsigned int, const double , const double )
	Method for adding a neuron population to a neuronal network model, using C++ string for the name of the population. More...

void	addNeuronPopulation (const string &, unsigned int, unsigned int, const vector< double > &, const vector< double > &)
	Method for adding a neuron population to a neuronal network model, using C++ string for the name of the population. More...

void	setNeuronClusterIndex (const string &neuronGroup, int hostID, int deviceID)
	Function for setting which host and which device a neuron group will be simulated on. More...

void	activateDirectInput (const string &, unsigned int type)
	This function defines the type of the explicit input to the neuron model. Current options are common constant input to all neurons, input from a file and input defines as a rule. More...

void	setConstInp (const string &, double)
	This function has been deprecated in GeNN 2.2. More...

unsigned int	findNeuronGrp (const string &) const
	Find the the ID number of a neuron group by its name. More...

void	addSynapsePopulation (const string &name, unsigned int syntype, SynapseConnType conntype, SynapseGType gtype, const string &src, const string &trg, const double *p)
	This function has been depreciated as of GeNN 2.2. More...

void	addSynapsePopulation (const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const double , const double , const double *)
	Overloaded version without initial variables for synapses. More...

void	addSynapsePopulation (const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const double , const double , const double , const double )
	Method for adding a synapse population to a neuronal network model, using C++ string for the name of the population. More...

void	addSynapsePopulation (const string &, unsigned int, SynapseConnType, SynapseGType, unsigned int, unsigned int, const string &, const string &, const vector< double > &, const vector< double > &, const vector< double > &, const vector< double > &)
	Method for adding a synapse population to a neuronal network model, using C++ string for the name of the population. More...

void	setSynapseG (const string &, double)
	This function has been depreciated as of GeNN 2.2. More...

void	setMaxConn (const string &, unsigned int)
	This function defines the maximum number of connections for a neuron in the population. More...

void	setSpanTypeToPre (const string &)
	Method for switching the execution order of synapses to pre-to-post. More...

void	setSynapseClusterIndex (const string &synapseGroup, int hostID, int deviceID)
	Function for setting which host and which device a synapse group will be simulated on. More...

void	initLearnGrps ()

unsigned int	findSynapseGrp (const string &) const
	This function is a tool to find the numeric ID of a synapse population based on the name of the synapse population. More...

Public Attributes
string	name
	Name of the neuronal newtwork model. More...

string	ftype
	Type of floating point variables (float, double, ...; default: float) More...

string	RNtype
	Underlying type for random number generation (default: long) More...

double	dt
	The integration time step of the model. More...

int	final
	Flag for whether the model has been finalized. More...

unsigned int	needSt
	Whether last spike times are needed at all in this network model (related to STDP) More...

unsigned int	needSynapseDelay
	Whether delayed synapse conductance is required in the network. More...

bool	timing

unsigned int	seed

unsigned int	resetKernel
	The identity of the kernel in which the spike counters will be reset. More...

unsigned int	neuronGrpN
	Number of neuron groups. More...

vector< string >	neuronName
	Names of neuron groups. More...

vector< unsigned int >	neuronN
	Number of neurons in group. More...

vector< unsigned int >	sumNeuronN
	Summed neuron numbers. More...

vector< unsigned int >	padSumNeuronN
	Padded summed neuron numbers. More...

vector< unsigned int >	neuronPostSyn

vector< unsigned int >	neuronType
	Postsynaptic methods to the neuron. More...

vector< vector< double > >	neuronPara
	Parameters of neurons. More...

vector< vector< double > >	dnp
	Derived neuron parameters. More...

vector< vector< double > >	neuronIni
	Initial values of neurons. More...

vector< vector< unsigned int > >	inSyn
	The ids of the incoming synapse groups. More...

vector< vector< unsigned int > >	outSyn
	The ids of the outgoing synapse groups. More...

vector< bool >	neuronNeedSt
	Whether last spike time needs to be saved for a group. More...

vector< bool >	neuronNeedTrueSpk
	Whether spike-like events from a group are required. More...

vector< bool >	neuronNeedSpkEvnt
	Whether spike-like events from a group are required. More...

vector< vector< bool > >	neuronVarNeedQueue
	Whether a neuron variable needs queueing for syn code. More...

vector< set< pair< string, string > > >	neuronSpkEvntCondition
	Will contain the spike event condition code when spike events are used. More...

vector< unsigned int >	neuronDelaySlots
	The number of slots needed in the synapse delay queues of a neuron group. More...

vector< int >	neuronHostID
	The ID of the cluster node which the neuron groups are computed on. More...

vector< int >	neuronDeviceID
	The ID of the CUDA device which the neuron groups are comnputed on. More...

unsigned int	synapseGrpN
	Number of synapse groups. More...

vector< string >	synapseName
	Names of synapse groups. More...

vector< unsigned int >	maxConn
	Padded summed maximum number of connections for a neuron in the neuron groups. More...

vector< unsigned int >	padSumSynapseKrnl

vector< unsigned int >	synapseType
	Types of synapses. More...

vector< SynapseConnType >	synapseConnType
	Connectivity type of synapses. More...

vector< SynapseGType >	synapseGType
	Type of specification method for synaptic conductance. More...

vector< unsigned int >	synapseSpanType
	Execution order of synapses in the kernel. It determines whether synapses are executed in parallel for every postsynaptic neuron (0, default), or for every presynaptic neuron (1). More...

vector< unsigned int >	synapseSource
	Presynaptic neuron groups. More...

vector< unsigned int >	synapseTarget
	Postsynaptic neuron groups. More...

vector< unsigned int >	synapseInSynNo
	IDs of the target neurons' incoming synapse variables for each synapse group. More...

vector< unsigned int >	synapseOutSynNo
	The target neurons' outgoing synapse for each synapse group. More...

vector< bool >	synapseUsesTrueSpikes
	Defines if synapse update is done after detection of real spikes (only one point after threshold) More...

vector< bool >	synapseUsesSpikeEvents
	Defines if synapse update is done after detection of spike events (every point above threshold) More...

vector< bool >	synapseUsesPostLearning
	Defines if anything is done in case of postsynaptic neuron spiking before presynaptic neuron (punishment in STDP etc.) More...

vector< bool >	synapseUsesSynapseDynamics
	Defines if there is any continuos synapse dynamics defined. More...

vector< bool >	needEvntThresholdReTest
	Defines whether the Evnt Threshold needs to be retested in the synapse kernel due to multiple non-identical events in the pre-synaptic neuron population. More...

vector< vector< double > >	synapsePara
	parameters of synapses More...

vector< vector< double > >	synapseIni
	Initial values of synapse variables. More...

vector< vector< double > >	dsp_w
	Derived synapse parameters (weightUpdateModel only) More...

vector< unsigned int >	postSynapseType
	Types of post-synaptic model. More...

vector< vector< double > >	postSynapsePara
	parameters of postsynapses More...

vector< vector< double > >	postSynIni
	Initial values of postsynaptic variables. More...

vector< vector< double > >	dpsp
	Derived postsynapse parameters. More...

unsigned int	lrnGroups
	Number of synapse groups with learning. More...

vector< unsigned int >	padSumLearnN
	Padded summed neuron numbers of learn group source populations. More...

vector< unsigned int >	lrnSynGrp
	Enumeration of the IDs of synapse groups that learn. More...

vector< unsigned int >	synapseDelay
	Global synaptic conductance delay for the group (in time steps) More...

unsigned int	synDynGroups
	Number of synapse groups that define continuous synapse dynamics. More...

vector< unsigned int >	synDynGrp
	Enumeration of the IDs of synapse groups that have synapse Dynamics. More...

vector< unsigned int >	padSumSynDynN
	Padded summed neuron numbers of synapse dynamics group source populations. More...

vector< int >	synapseHostID
	The ID of the cluster node which the synapse groups are computed on. More...

vector< int >	synapseDeviceID
	The ID of the CUDA device which the synapse groups are comnputed on. More...

vector< string >	neuronKernelParameters

vector< string >	neuronKernelParameterTypes

vector< string >	synapseKernelParameters

vector< string >	synapseKernelParameterTypes

vector< string >	simLearnPostKernelParameters

vector< string >	simLearnPostKernelParameterTypes

vector< string >	synapseDynamicsKernelParameters

vector< string >	synapseDynamicsKernelParameterTypes

Constructor & Destructor Documentation

NNmodel::NNmodel ( )

NNmodel::~NNmodel ( )

Member Function Documentation

void NNmodel::activateDirectInput	(	const string &	name,
		unsigned int	type
	)

This function defines the type of the explicit input to the neuron model. Current options are common constant input to all neurons, input from a file and input defines as a rule.

Parameters

name	Name of the neuron population
type	Type of input: 1 if common input, 2 if custom input from file, 3 if custom input as a rule

void NNmodel::addNeuronPopulation	(	const string &	name,
		unsigned int	nNo,
		unsigned int	type,
		const double *	p,
		const double *	ini
	)

Method for adding a neuron population to a neuronal network model, using C++ string for the name of the population.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

This function adds a neuron population to a neuronal network models, assigning the name, the number of neurons in the group, the neuron type, parameters and initial values, the latter two defined as double *

Parameters

name	The name of the neuron population
nNo	Number of neurons in the population
type	Type of the neurons, refers to either a standard type or user-defined type
p	Parameters of this neuron type
ini	Initial values for variables of this neuron type

void NNmodel::addNeuronPopulation	(	const string &	name,
		unsigned int	nNo,
		unsigned int	type,
		const vector< double > &	p,
		const vector< double > &	ini
	)

Method for adding a neuron population to a neuronal network model, using C++ string for the name of the population.

This function adds a neuron population to a neuronal network models, assigning the name, the number of neurons in the group, the neuron type, parameters and initial values. The latter two defined as STL vectors of double.

Parameters

name	The name of the neuron population
nNo	Number of neurons in the population
type	Type of the neurons, refers to either a standard type or user-defined type
p	Parameters of this neuron type
ini	Initial values for variables of this neuron type

void NNmodel::addSynapsePopulation	(	const string &	name,
		unsigned int	syntype,
		SynapseConnType	conntype,
		SynapseGType	gtype,
		const string &	src,
		const string &	target,
		const double *	params
	)

This function has been depreciated as of GeNN 2.2.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

This deprecated function is provided for compatibility with the previous release of GeNN. Default values are provide for new parameters, it is strongly recommended these be selected explicity via the new version othe function

Parameters

name	The name of the synapse population
syntype	The type of synapse to be added (i.e. learning mode)
conntype	The type of synaptic connectivity
gtype	The way how the synaptic conductivity g will be defined
src	Name of the (existing!) pre-synaptic neuron population
target	Name of the (existing!) post-synaptic neuron population
params	A C-type array of doubles that contains synapse parameter values (common to all synapses of the population) which will be used for the defined synapses.

void NNmodel::addSynapsePopulation	(	const string &	name,
		unsigned int	syntype,
		SynapseConnType	conntype,
		SynapseGType	gtype,
		unsigned int	delaySteps,
		unsigned int	postsyn,
		const string &	src,
		const string &	trg,
		const double *	p,
		const double *	PSVini,
		const double *	ps
	)

Overloaded version without initial variables for synapses.

Overloaded old version (deprecated)

Parameters

name	The name of the synapse population
syntype	The type of synapse to be added (i.e. learning mode)
conntype	The type of synaptic connectivity
gtype	The way how the synaptic conductivity g will be defined
delaySteps	Number of delay slots
postsyn	Postsynaptic integration method
src	Name of the (existing!) pre-synaptic neuron population
trg	Name of the (existing!) post-synaptic neuron population
p	A C-type array of doubles that contains synapse parameter values (common to all synapses of the population) which will be used for the defined synapses.
PSVini	A C-type array of doubles that contains the initial values for postsynaptic mechanism variables (common to all synapses of the population) which will be used for the defined synapses.
ps	A C-type array of doubles that contains postsynaptic mechanism parameter values (common to all synapses of the population) which will be used for the defined synapses.

void NNmodel::addSynapsePopulation	(	const string &	name,
		unsigned int	syntype,
		SynapseConnType	conntype,
		SynapseGType	gtype,
		unsigned int	delaySteps,
		unsigned int	postsyn,
		const string &	src,
		const string &	trg,
		const double *	synini,
		const double *	p,
		const double *	PSVini,
		const double *	ps
	)

Method for adding a synapse population to a neuronal network model, using C++ string for the name of the population.

This function adds a synapse population to a neuronal network model, assigning the name, the synapse type, the connectivity type, the type of conductance specification, the source and destination neuron populations, and the synaptic parameters.

Parameters

name	The name of the synapse population
syntype	The type of synapse to be added (i.e. learning mode)
conntype	The type of synaptic connectivity
gtype	The way how the synaptic conductivity g will be defined
delaySteps	Number of delay slots
postsyn	Postsynaptic integration method
src	Name of the (existing!) pre-synaptic neuron population
trg	Name of the (existing!) post-synaptic neuron population
synini	A C-type array of doubles that contains the initial values for synapse variables (common to all synapses of the population) which will be used for the defined synapses.
p	A C-type array of doubles that contains synapse parameter values (common to all synapses of the population) which will be used for the defined synapses.
PSVini	A C-type array of doubles that contains the initial values for postsynaptic mechanism variables (common to all synapses of the population) which will be used for the defined synapses.
ps	A C-type array of doubles that contains postsynaptic mechanism parameter values (common to all synapses of the population) which will be used for the defined synapses.

void NNmodel::addSynapsePopulation	(	const string &	name,
		unsigned int	syntype,
		SynapseConnType	conntype,
		SynapseGType	gtype,
		unsigned int	delaySteps,
		unsigned int	postsyn,
		const string &	src,
		const string &	trg,
		const vector< double > &	synini,
		const vector< double > &	p,
		const vector< double > &	PSVini,
		const vector< double > &	ps
	)

Method for adding a synapse population to a neuronal network model, using C++ string for the name of the population.

This function adds a synapse population to a neuronal network model, assigning the name, the synapse type, the connectivity type, the type of conductance specification, the source and destination neuron populations, and the synaptic parameters.

Parameters

name	The name of the synapse population
syntype	The type of synapse to be added (i.e. learning mode)
conntype	The type of synaptic connectivity
gtype	The way how the synaptic conductivity g will be defined
delaySteps	Number of delay slots
postsyn	Postsynaptic integration method
src	Name of the (existing!) pre-synaptic neuron population
trg	Name of the (existing!) post-synaptic neuron population
synini	A C-type array of doubles that contains the initial values for synapse variables (common to all synapses of the population) which will be used for the defined synapses.
p	A C-type array of doubles that contains synapse parameter values (common to all synapses of the population) which will be used for the defined synapses.
PSVini	A C-type array of doubles that contains the initial values for postsynaptic mechanism variables (common to all synapses of the population) which will be used for the defined synapses.
ps	A C-type array of doubles that contains postsynaptic mechanism parameter values (common to all synapses of the population) which will be used for the defined synapses.

void NNmodel::checkSizes	(	unsigned int *	,
		unsigned int *	,
		unsigned int *
	)

void NNmodel::finalize ( )

Declare that the model specification is finalised in modelDefinition().

unsigned int NNmodel::findNeuronGrp ( const string & nName ) const

Find the the ID number of a neuron group by its name.

This function is a tool to find the numeric ID of a neuron population based on the name of the neuron population.

Parameters

nName Name of the neuron population

unsigned int NNmodel::findSynapseGrp ( const string & sName ) const

This function is a tool to find the numeric ID of a synapse population based on the name of the synapse population.

Parameters

sName Name of the synapse population

void NNmodel::initLearnGrps ( )

string NNmodel::scalarExpr ( const double val ) const

void NNmodel::setConstInp	(	const string &	sName,
		double	globalInp0
	)

This function has been deprecated in GeNN 2.2.

This function sets a global input value to the specified neuron group.

void NNmodel::setDT ( double newDT )

Set the integration step size of the model.

This function sets the integration time step DT of the model.

void NNmodel::setGPUDevice ( int device )

Method to choose the GPU to be used for the model. If "AUTODEVICE' (-1), GeNN will choose the device based on a heuristic rule.

This function defines the way how the GPU is chosen. If "AUTODEVICE" (-1) is given as the argument, GeNN will use internal heuristics to choose the device. Otherwise the argument is the device number and the indicated device will be used.

void NNmodel::setMaxConn	(	const string &	sname,
		unsigned int	maxConnP
	)

This function defines the maximum number of connections for a neuron in the population.

void NNmodel::setName ( const string inname )

Method to set the neuronal network model name.

void NNmodel::setNeuronClusterIndex	(	const string &	neuronGroup,
		int	hostID,
		int	deviceID
	)

Function for setting which host and which device a neuron group will be simulated on.

This function is for setting which host and which device a neuron group will be simulated on.

Parameters

neuronGroup	Name of the neuron population
hostID	ID of the host
deviceID	ID of the device

void NNmodel::setPopulationSums ( )

Set the accumulated sums of lowest multiple of kernel block size >= group sizes for all simulated groups.

Accumulate the sums and block-size-padded sums of all simulation groups.

This method saves the neuron numbers of the populations rounded to the next multiple of the block size as well as the sums s(i) = sum_{1...i} n_i of the rounded population sizes. These are later used to determine the branching structure for the generated neuron kernel code.

void NNmodel::setPrecision ( FloatType floattype )

Set numerical precision for floating point.

This function sets the numerical precision of floating type variables. By default, it is GENN_GENN_FLOAT.

void NNmodel::setSeed ( unsigned int inseed )

Set the random seed (disables automatic seeding if argument not 0).

This function sets the random seed. If the passed argument is > 0, automatic seeding is disabled. If the argument is 0, the underlying seed is obtained from the time() function.

Parameters

inseed the new seed

void NNmodel::setSpanTypeToPre ( const string & sname )

Method for switching the execution order of synapses to pre-to-post.

This function defines the execution order of the synapses in the kernels (0 : execute for every postsynaptic neuron 1: execute for every presynaptic neuron)

Parameters

sname name of the synapse group to which to apply the pre-synaptic span type

void NNmodel::setSynapseClusterIndex	(	const string &	synapseGroup,
		int	hostID,
		int	deviceID
	)

Function for setting which host and which device a synapse group will be simulated on.

This function is for setting which host and which device a synapse group will be simulated on.

Parameters

synapseGroup	Name of the synapse population
hostID	ID of the host
deviceID	ID of the device

void NNmodel::setSynapseG	(	const string &	sName,
		double	g
	)

This function has been depreciated as of GeNN 2.2.

This functions sets the global value of the maximal synaptic conductance for a synapse population that was idfentified as conductance specifcation method "GLOBALG".

void NNmodel::setTiming ( bool theTiming )

Set whether timers and timing commands are to be included.

This function sets a flag to determine whether timers and timing commands are to be included in generated code.

Member Data Documentation

vector<vector<double> > NNmodel::dnp

Derived neuron parameters.

vector<vector<double> > NNmodel::dpsp

Derived postsynapse parameters.

vector<vector<double> > NNmodel::dsp_w

Derived synapse parameters (weightUpdateModel only)

double NNmodel::dt

The integration time step of the model.

int NNmodel::final

Flag for whether the model has been finalized.

string NNmodel::ftype

Type of floating point variables (float, double, ...; default: float)

vector<vector<unsigned int> > NNmodel::inSyn

The ids of the incoming synapse groups.

unsigned int NNmodel::lrnGroups

Number of synapse groups with learning.

vector<unsigned int> NNmodel::lrnSynGrp

Enumeration of the IDs of synapse groups that learn.

vector<unsigned int> NNmodel::maxConn

Padded summed maximum number of connections for a neuron in the neuron groups.

string NNmodel::name

Name of the neuronal newtwork model.

vector<bool> NNmodel::needEvntThresholdReTest

Defines whether the Evnt Threshold needs to be retested in the synapse kernel due to multiple non-identical events in the pre-synaptic neuron population.

unsigned int NNmodel::needSt

Whether last spike times are needed at all in this network model (related to STDP)

unsigned int NNmodel::needSynapseDelay

Whether delayed synapse conductance is required in the network.

vector<unsigned int> NNmodel::neuronDelaySlots

The number of slots needed in the synapse delay queues of a neuron group.

vector<int> NNmodel::neuronDeviceID

The ID of the CUDA device which the neuron groups are comnputed on.

unsigned int NNmodel::neuronGrpN

Number of neuron groups.

vector<int> NNmodel::neuronHostID

The ID of the cluster node which the neuron groups are computed on.

vector<vector<double> > NNmodel::neuronIni

Initial values of neurons.

vector<string> NNmodel::neuronKernelParameters

vector<string> NNmodel::neuronKernelParameterTypes

vector<unsigned int> NNmodel::neuronN

Number of neurons in group.

vector<string> NNmodel::neuronName

Names of neuron groups.

vector<bool> NNmodel::neuronNeedSpkEvnt

Whether spike-like events from a group are required.

vector<bool> NNmodel::neuronNeedSt

Whether last spike time needs to be saved for a group.

vector<bool> NNmodel::neuronNeedTrueSpk

Whether spike-like events from a group are required.

vector<vector<double> > NNmodel::neuronPara

Parameters of neurons.

vector<unsigned int> NNmodel::neuronPostSyn

vector<set<pair<string, string> > > NNmodel::neuronSpkEvntCondition

Will contain the spike event condition code when spike events are used.

vector<unsigned int> NNmodel::neuronType

Postsynaptic methods to the neuron.

Types of neurons

vector<vector<bool> > NNmodel::neuronVarNeedQueue

Whether a neuron variable needs queueing for syn code.

vector<vector<unsigned int> > NNmodel::outSyn

The ids of the outgoing synapse groups.

vector<unsigned int> NNmodel::padSumLearnN

Padded summed neuron numbers of learn group source populations.

vector<unsigned int> NNmodel::padSumNeuronN

Padded summed neuron numbers.

vector<unsigned int> NNmodel::padSumSynapseKrnl

vector<unsigned int> NNmodel::padSumSynDynN

Padded summed neuron numbers of synapse dynamics group source populations.

vector<vector<double> > NNmodel::postSynapsePara

parameters of postsynapses

vector<unsigned int> NNmodel::postSynapseType

Types of post-synaptic model.

vector<vector<double> > NNmodel::postSynIni

Initial values of postsynaptic variables.

unsigned int NNmodel::resetKernel

The identity of the kernel in which the spike counters will be reset.

string NNmodel::RNtype

Underlying type for random number generation (default: long)

unsigned int NNmodel::seed

vector<string> NNmodel::simLearnPostKernelParameters

vector<string> NNmodel::simLearnPostKernelParameterTypes

vector<unsigned int> NNmodel::sumNeuronN

Summed neuron numbers.

vector<SynapseConnType> NNmodel::synapseConnType

Connectivity type of synapses.

vector<unsigned int> NNmodel::synapseDelay

Global synaptic conductance delay for the group (in time steps)

vector<int> NNmodel::synapseDeviceID

The ID of the CUDA device which the synapse groups are comnputed on.

vector<string> NNmodel::synapseDynamicsKernelParameters

vector<string> NNmodel::synapseDynamicsKernelParameterTypes

unsigned int NNmodel::synapseGrpN

Number of synapse groups.

vector<SynapseGType> NNmodel::synapseGType

Type of specification method for synaptic conductance.

vector<int> NNmodel::synapseHostID

The ID of the cluster node which the synapse groups are computed on.

vector<vector<double> > NNmodel::synapseIni

Initial values of synapse variables.

vector<unsigned int> NNmodel::synapseInSynNo

IDs of the target neurons' incoming synapse variables for each synapse group.

vector<string> NNmodel::synapseKernelParameters

vector<string> NNmodel::synapseKernelParameterTypes

vector<string> NNmodel::synapseName

Names of synapse groups.

vector<unsigned int> NNmodel::synapseOutSynNo

The target neurons' outgoing synapse for each synapse group.

vector<vector<double> > NNmodel::synapsePara

parameters of synapses

vector<unsigned int> NNmodel::synapseSource

Presynaptic neuron groups.

vector<unsigned int> NNmodel::synapseSpanType

Execution order of synapses in the kernel. It determines whether synapses are executed in parallel for every postsynaptic neuron (0, default), or for every presynaptic neuron (1).

vector<unsigned int> NNmodel::synapseTarget

Postsynaptic neuron groups.

vector<unsigned int> NNmodel::synapseType

Types of synapses.

vector<bool> NNmodel::synapseUsesPostLearning

Defines if anything is done in case of postsynaptic neuron spiking before presynaptic neuron (punishment in STDP etc.)

vector<bool> NNmodel::synapseUsesSpikeEvents

Defines if synapse update is done after detection of spike events (every point above threshold)

vector<bool> NNmodel::synapseUsesSynapseDynamics

Defines if there is any continuos synapse dynamics defined.

vector<bool> NNmodel::synapseUsesTrueSpikes

Defines if synapse update is done after detection of real spikes (only one point after threshold)

unsigned int NNmodel::synDynGroups

Number of synapse groups that define continuous synapse dynamics.

vector<unsigned int> NNmodel::synDynGrp

Enumeration of the IDs of synapse groups that have synapse Dynamics.

bool NNmodel::timing

The documentation for this class was generated from the following files:

Public Member Functions

Public Attributes

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation