Inheritance diagram for AllSTDPSynapses:

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Collaboration diagram for AllSTDPSynapses:

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Public Member Functions
	AllSTDPSynapses (int numVertices, int maxEdges)

virtual void	setupEdges () override
	Setup the internal structure of the class (allocate memories and initialize them).

virtual void	resetEdge (BGSIZE iEdg, BGFLOAT deltaT) override

virtual bool	allowBackPropagation () override

virtual void	loadParameters () override

virtual void	printParameters () const override

virtual void	createEdge (BGSIZE iEdg, int srcVertex, int destVertex, BGFLOAT deltaT, edgeType type) override

virtual void	printSynapsesProps () const override
	Prints SynapsesProps data.

template<class Archive >
void	serialize (Archive &archive)
	Cereal serialization method.

virtual void	advanceEdge (BGSIZE iEdg, AllVertices &neurons) override

virtual void	postSpikeHit (BGSIZE iEdg) override

Public Member Functions inherited from AllSpikingSynapses
	AllSpikingSynapses (int numVertices, int maxEdges)

template<class Archive >
void	serialize (Archive &archive)
	Cereal serialization method.

virtual void	outputWeights (int epochNum)
	Output weights and srcIndex to xml.

virtual void	preSpikeHit (BGSIZE iEdg)

Public Member Functions inherited from AllNeuroEdges
int	edgSign (const edgeType type)

template<class Archive >
void	serialize (Archive &archive)
	Cereal serialization method.

Public Member Functions inherited from AllEdges
	AllEdges (int numVertices, int maxEdges)

virtual BGSIZE	addEdge (edgeType type, int srcVertex, int destVertex, BGFLOAT deltaT)

virtual void	createEdgeIndexMap (EdgeIndexMap &edgeIndexMap)
	Populate a edge index map.

template<class Archive >
void	serialize (Archive &archive)
	Cereal serialization method.

virtual void	advanceEdges (AllVertices &vertices, EdgeIndexMap &edgeIndexMap)

virtual void	eraseEdge (int vertexIndex, BGSIZE iEdg)

Static Public Member Functions
static AllEdges *	Create ()

Static Public Member Functions inherited from AllSpikingSynapses
static AllEdges *	Create ()

Public Attributes
vector< int >	totalDelayPost_

vector< uint32_t >	delayQueuePost_
	Pointer to the delayed queue.

vector< int >	delayIndexPost_
	The index indicating the current time slot in the delayed queue.

vector< int >	delayQueuePostLength_
	Length of the delayed queue.

vector< BGFLOAT >	tauspost_

vector< BGFLOAT >	tauspre_
	sed for extended rule by Froemke and Dan.

vector< BGFLOAT >	taupos_
	Timeconstant of exponential decay of positive learning window for STDP.

vector< BGFLOAT >	tauneg_
	Timeconstant of exponential decay of negative learning window for STDP.

vector< BGFLOAT >	STDPgap_
	No learning is performed if $\|Delta\| = \|t_{post}-t_{pre}\| < STDPgap_$ .

vector< BGFLOAT >	Wex_
	The maximal/minimal weight of the synapse [readwrite; units=;].

vector< BGFLOAT >	Aneg_
	Defines the peak of the negative exponential learning window.

vector< BGFLOAT >	Apos_
	Defines the peak of the positive exponential learning window.

vector< BGFLOAT >	mupos_

vector< BGFLOAT >	muneg_

BGFLOAT	defaultSTDPgap_

BGFLOAT	tauspost_I_

BGFLOAT	tauspre_I_

BGFLOAT	tauspost_E_

BGFLOAT	tauspre_E_

BGFLOAT	taupos_I_

BGFLOAT	tauneg_I_

BGFLOAT	taupos_E_

BGFLOAT	tauneg_E_

BGFLOAT	Wex_I_

BGFLOAT	Wex_E_

BGFLOAT	Aneg_I_

BGFLOAT	Aneg_E_

BGFLOAT	Apos_I_

BGFLOAT	Apos_E_

Public Attributes inherited from AllSpikingSynapses
vector< BGFLOAT >	decay_
	The decay for the psr.

vector< BGFLOAT >	tau_
	The synaptic time constant $\tau$ [units=sec; range=(0,100)].

BGFLOAT	tau_II_

BGFLOAT	tau_IE_

BGFLOAT	tau_EI_

BGFLOAT	tau_EE_

BGFLOAT	delay_II_

BGFLOAT	delay_IE_

BGFLOAT	delay_EI_

BGFLOAT	delay_EE_

vector< int >	totalDelay_
	The synaptic transmission delay, descretized into time steps.

vector< uint32_t >	delayQueue_
	Pointer to the delayed queue.

vector< int >	delayIndex_

vector< int >	delayQueueLength_
	Length of the delayed queue.

Public Attributes inherited from AllNeuroEdges
vector< BGFLOAT >	psr_

Public Attributes inherited from AllEdges
vector< int >	sourceVertexIndex_
	The location of the edge.

vector< int >	destVertexIndex_

vector< BGFLOAT >	W_
	The weight (scaling factor, strength, maximal amplitude) of the edge.

vector< edgeType >	type_
	edge type

vector< unsigned char >	inUse_
	The value indicating the entry in the array is in use.

vector< BGSIZE >	edgeCounts_

BGSIZE	totalEdgeCount_
	The total number of active edges.

BGSIZE	maxEdgesPerVertex_
	The maximum number of edges for each vertex.

int	countVertices_

Protected Member Functions
virtual void	setupEdges (int numVertices, int maxEdges) override

virtual void	readEdge (istream &input, BGSIZE iEdg) override

virtual void	writeEdge (ostream &output, BGSIZE iEdg) const override

virtual void	initSpikeQueue (BGSIZE iEdg) override

bool	isSpikeQueuePost (BGSIZE iEdg)

virtual BGFLOAT	synapticWeightModification (BGSIZE iEdg, BGFLOAT edgeWeight, double delta)

Protected Member Functions inherited from AllSpikingSynapses
bool	updateDecay (BGSIZE iEdg, BGFLOAT deltaT)
	defined(USE_GPU)

bool	isSpikeQueue (BGSIZE iEdg)

virtual void	changePSR (BGSIZE iEdg, BGFLOAT deltaT)

Protected Member Functions inherited from AllNeuroEdges
Protected Member Functions inherited from AllEdges
edgeType	edgeOrdinalToType (int typeOrdinal)

Additional Inherited Members
Static Public Attributes inherited from AllNeuroEdges
static constexpr BGFLOAT	SYNAPSE_STRENGTH_ADJUSTMENT = 1.0e-8
	The factor to adjust overlapping area to edge weight.

Protected Attributes inherited from AllEdges
log4cplus::Logger	fileLogger_
	Loggers used to print to using log4cplus logging macros, prints to Results/Debug/logging.txt.

log4cplus::Logger	edgeLogger_

Detailed Description

Definition at line 77 of file AllSTDPSynapses.h.

Constructor & Destructor Documentation

◆ AllSTDPSynapses() [1/2]

AllSTDPSynapses::AllSTDPSynapses ( )

Definition at line 14 of file AllSTDPSynapses.cpp.

◆ AllSTDPSynapses() [2/2]

AllSTDPSynapses::AllSTDPSynapses	(	int	numVertices,
		int	maxEdges )

Definition at line 33 of file AllSTDPSynapses.cpp.

Member Function Documentation

◆ advanceEdge()

void AllSTDPSynapses::advanceEdge	(	BGSIZE	iEdg,
		AllVertices &	neurons )

overridevirtual

Advance one specific Synapse. Update the state of synapse for a time step

Parameters

iEdg	Index of the Synapse to connect to.
neurons	The Neuron list to search from.

Advance one specific Synapse.

Parameters

iEdg	Index of the Synapse to connect to.
neurons	The Neuron list to search from.

Reimplemented from AllSpikingSynapses.

Definition at line 246 of file AllSTDPSynapses.cpp.

◆ allowBackPropagation()

bool AllSTDPSynapses::allowBackPropagation ( )

overridevirtual

Check if the back propagation (notify a spike event to the pre neuron) is allowed in the synapse class.

Returns: true if the back propagation is allowed.

Check if the back propagation (notify a spike event to the pre neuron) is allowed in the synapse class.

@retrun true if the back propagation is allowed.

Reimplemented from AllSpikingSynapses.

Definition at line 492 of file AllSTDPSynapses.cpp.

◆ Create()

static AllEdges * AllSTDPSynapses::Create ( )

inlinestatic

Definition at line 85 of file AllSTDPSynapses.h.

◆ createEdge()

void AllSTDPSynapses::createEdge	(	BGSIZE	iEdg,
		int	srcVertex,
		int	destVertex,
		BGFLOAT	deltaT,
		edgeType	type )

overridevirtual

Create a Synapse and connect it to the model.

Parameters

iEdg	Index of the synapse to set.
srcVertex	Index of the source Neuron.
destVertex	Index of the destination Neuron.
deltaT	Inner simulation step duration.
type	Type of the Synapse to create.

Create a Synapse and connect it to the model.

Parameters

synapses	The synapse list to reference.
iEdg	Index of the synapse to set.
srcVertex	Index of the source Neuron.
destVertex	Index of the destination Neuron.
deltaT	Inner simulation step duration.
type	Type of the Synapse to create.

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 215 of file AllSTDPSynapses.cpp.

◆ initSpikeQueue()

void AllSTDPSynapses::initSpikeQueue ( BGSIZE iEdg )

overrideprotectedvirtual

Initializes the queues for the Synapse.

Parameters

iEdg	index of the synapse to set.

Reimplemented from AllSpikingSynapses.

Definition at line 77 of file AllSTDPSynapses.cpp.

◆ isSpikeQueuePost()

bool AllSTDPSynapses::isSpikeQueuePost ( BGSIZE iEdg )

protected

Checks if there is an input spike in the queue (for back propagation).

Parameters

iEdg	Index of the Synapse to connect to.

Returns: true if there is an input spike event.

Definition at line 449 of file AllSTDPSynapses.cpp.

◆ loadParameters()

void AllSTDPSynapses::loadParameters ( )

overridevirtual

Load member variables from configuration file. Registered to OperationManager as Operation::op::loadParameters

Loads out all parameters from the config file. Registered to OperationManager as Operation::loadParameters

Reimplemented from AllSpikingSynapses.

Definition at line 95 of file AllSTDPSynapses.cpp.

◆ postSpikeHit()

void AllSTDPSynapses::postSpikeHit ( BGSIZE iEdg )

overridevirtual

Prepares Synapse for a spike hit (for back propagation).

Parameters

iEdg	Index of the Synapse to connect to.

Reimplemented from AllSpikingSynapses.

Definition at line 466 of file AllSTDPSynapses.cpp.

◆ printParameters()

void AllSTDPSynapses::printParameters ( ) const

overridevirtual

Prints out all parameters to logging file. Registered to OperationManager as Operation::printParameters

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 117 of file AllSTDPSynapses.cpp.

◆ printSynapsesProps()

void AllSTDPSynapses::printSynapsesProps ( ) const

overridevirtual

Prints SynapsesProps data.

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 498 of file AllSTDPSynapses.cpp.

◆ readEdge()

void AllSTDPSynapses::readEdge	(	istream &	input,
		BGSIZE	iEdg )

overrideprotectedvirtual

Sets the data for Synapse to input's data.

Parameters

input	istream to read from.
iEdg	Index of the synapse to set.

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 139 of file AllSTDPSynapses.cpp.

◆ resetEdge()

void AllSTDPSynapses::resetEdge	(	BGSIZE	iEdg,
		BGFLOAT	deltaT )

overridevirtual

Reset time varying state vars and recompute decay.

Parameters

iEdg	Index of the synapse to set.
deltaT	Inner simulation step duration

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 202 of file AllSTDPSynapses.cpp.

◆ serialize()

template<class Archive >

void AllSTDPSynapses::serialize ( Archive & archive )

Cereal serialization method.

Definition at line 418 of file AllSTDPSynapses.h.

◆ setupEdges() [1/2]

void AllSTDPSynapses::setupEdges ( )

overridevirtual

Setup the internal structure of the class (allocate memories and initialize them).

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 40 of file AllSTDPSynapses.cpp.

◆ setupEdges() [2/2]

void AllSTDPSynapses::setupEdges	(	int	numVertices,
		int	maxEdges )

overrideprotectedvirtual

Setup the internal structure of the class (allocate memories and initialize them).

Parameters

numVertices	Total number of vertices in the network.
maxEdges	Maximum number of synapses per neuron.

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 50 of file AllSTDPSynapses.cpp.

◆ synapticWeightModification()

BGFLOAT AllSTDPSynapses::synapticWeightModification	(	BGSIZE	iEdg,
		BGFLOAT	edgeWeight,
		double	delta )

protectedvirtual

Definition at line 367 of file AllSTDPSynapses.cpp.

◆ writeEdge()

void AllSTDPSynapses::writeEdge	(	ostream &	output,
		BGSIZE	iEdg ) const

overrideprotectedvirtual

Write the synapse data to the stream.

Parameters

output	stream to print out to.
iEdg	Index of the synapse to print out.

Reimplemented from AllSpikingSynapses.

Reimplemented in AllDynamicSTDPSynapses.

Definition at line 178 of file AllSTDPSynapses.cpp.

Member Data Documentation

◆ Aneg_

vector<BGFLOAT> AllSTDPSynapses::Aneg_

Defines the peak of the negative exponential learning window.

Definition at line 317 of file AllSTDPSynapses.h.

◆ Aneg_E_

BGFLOAT AllSTDPSynapses::Aneg_E_

Definition at line 345 of file AllSTDPSynapses.h.

◆ Aneg_I_

BGFLOAT AllSTDPSynapses::Aneg_I_

Definition at line 344 of file AllSTDPSynapses.h.

◆ Apos_

vector<BGFLOAT> AllSTDPSynapses::Apos_

Defines the peak of the positive exponential learning window.

Definition at line 320 of file AllSTDPSynapses.h.

◆ Apos_E_

BGFLOAT AllSTDPSynapses::Apos_E_

Definition at line 347 of file AllSTDPSynapses.h.

◆ Apos_I_

BGFLOAT AllSTDPSynapses::Apos_I_

Definition at line 346 of file AllSTDPSynapses.h.

◆ defaultSTDPgap_

BGFLOAT AllSTDPSynapses::defaultSTDPgap_

Definition at line 333 of file AllSTDPSynapses.h.

◆ delayIndexPost_

vector<int> AllSTDPSynapses::delayIndexPost_

The index indicating the current time slot in the delayed queue.

Definition at line 291 of file AllSTDPSynapses.h.

◆ delayQueuePost_

vector<uint32_t> AllSTDPSynapses::delayQueuePost_

Pointer to the delayed queue.

Definition at line 288 of file AllSTDPSynapses.h.

◆ delayQueuePostLength_

vector<int> AllSTDPSynapses::delayQueuePostLength_

Length of the delayed queue.

Definition at line 294 of file AllSTDPSynapses.h.

◆ muneg_

vector<BGFLOAT> AllSTDPSynapses::muneg_

Extended multiplicative negative update: $dw = W^{mupos_} * Aneg_ * exp(Delta/tauneg_)$ . Set to 0 for basic update.

Definition at line 331 of file AllSTDPSynapses.h.

◆ mupos_

vector<BGFLOAT> AllSTDPSynapses::mupos_

Extended multiplicative positive update: $dw = (Wex_-W)^{mupos_} * Apos_ * exp(-Delta/taupos_)$ . Set to 0 for basic update. See Guetig, Aharonov, Rotter and Sompolinsky (2003). Learning input correlations through non-linear asymmetric Hebbian plasticity. Journal of Neuroscience 23. pp.3697-3714.

Definition at line 327 of file AllSTDPSynapses.h.

◆ STDPgap_

vector<BGFLOAT> AllSTDPSynapses::STDPgap_

No learning is performed if $|Delta| = |t_{post}-t_{pre}| < STDPgap_$ .

Definition at line 311 of file AllSTDPSynapses.h.

◆ tauneg_

vector<BGFLOAT> AllSTDPSynapses::tauneg_

Timeconstant of exponential decay of negative learning window for STDP.

Definition at line 308 of file AllSTDPSynapses.h.

◆ tauneg_E_

BGFLOAT AllSTDPSynapses::tauneg_E_

Definition at line 341 of file AllSTDPSynapses.h.

◆ tauneg_I_

BGFLOAT AllSTDPSynapses::tauneg_I_

Definition at line 339 of file AllSTDPSynapses.h.

◆ taupos_

vector<BGFLOAT> AllSTDPSynapses::taupos_

Timeconstant of exponential decay of positive learning window for STDP.

Definition at line 305 of file AllSTDPSynapses.h.

◆ taupos_E_

BGFLOAT AllSTDPSynapses::taupos_E_

Definition at line 340 of file AllSTDPSynapses.h.

◆ taupos_I_

BGFLOAT AllSTDPSynapses::taupos_I_

Definition at line 338 of file AllSTDPSynapses.h.

◆ tauspost_

vector<BGFLOAT> AllSTDPSynapses::tauspost_

Used for extended rule by Froemke and Dan. See Froemke and Dan (2002). Spike-timing-dependent synaptic modification induced by natural spike trains. Nature 416 (3/2002).

Definition at line 299 of file AllSTDPSynapses.h.

◆ tauspost_E_

BGFLOAT AllSTDPSynapses::tauspost_E_

Definition at line 336 of file AllSTDPSynapses.h.

◆ tauspost_I_

BGFLOAT AllSTDPSynapses::tauspost_I_

Definition at line 334 of file AllSTDPSynapses.h.

◆ tauspre_

vector<BGFLOAT> AllSTDPSynapses::tauspre_

sed for extended rule by Froemke and Dan.

Definition at line 302 of file AllSTDPSynapses.h.

◆ tauspre_E_

BGFLOAT AllSTDPSynapses::tauspre_E_

Definition at line 337 of file AllSTDPSynapses.h.

◆ tauspre_I_

BGFLOAT AllSTDPSynapses::tauspre_I_

Definition at line 335 of file AllSTDPSynapses.h.

◆ totalDelayPost_

vector<int> AllSTDPSynapses::totalDelayPost_

The synaptic transmission delay (delay of dendritic backpropagating spike), descretized into time steps.

Definition at line 285 of file AllSTDPSynapses.h.

◆ Wex_

vector<BGFLOAT> AllSTDPSynapses::Wex_

The maximal/minimal weight of the synapse [readwrite; units=;].

Definition at line 314 of file AllSTDPSynapses.h.

◆ Wex_E_

BGFLOAT AllSTDPSynapses::Wex_E_

Definition at line 343 of file AllSTDPSynapses.h.

◆ Wex_I_

BGFLOAT AllSTDPSynapses::Wex_I_

Definition at line 342 of file AllSTDPSynapses.h.

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

Simulator/Edges/Neuro/AllSTDPSynapses.h
Simulator/Edges/Neuro/AllSTDPSynapses.cpp

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ AllSTDPSynapses() [1/2]

◆ AllSTDPSynapses() [2/2]

Member Function Documentation

◆ advanceEdge()

◆ allowBackPropagation()

◆ Create()

◆ createEdge()

◆ initSpikeQueue()

◆ isSpikeQueuePost()

◆ loadParameters()

◆ postSpikeHit()

◆ printParameters()

◆ printSynapsesProps()

◆ readEdge()

◆ resetEdge()

◆ serialize()

◆ setupEdges() [1/2]

◆ setupEdges() [2/2]

◆ synapticWeightModification()

◆ writeEdge()

Member Data Documentation

◆ Aneg_

◆ Aneg_E_

◆ Aneg_I_

◆ Apos_

◆ Apos_E_

◆ Apos_I_

◆ defaultSTDPgap_

◆ delayIndexPost_

◆ delayQueuePost_

◆ delayQueuePostLength_

◆ muneg_

◆ mupos_

◆ STDPgap_

◆ tauneg_

◆ tauneg_E_

◆ tauneg_I_

◆ taupos_

◆ taupos_E_

◆ taupos_I_

◆ tauspost_

◆ tauspost_E_

◆ tauspost_I_

◆ tauspre_

◆ tauspre_E_

◆ tauspre_I_

◆ totalDelayPost_

◆ Wex_

◆ Wex_E_

◆ Wex_I_