Class to hold the information that defines a weightupdate model (a model of how spikes affect synaptic (and/or) (mostly) post-synaptic neuron variables. It also allows to define changes in response to post-synaptic spikes/spike-like events. More...

#include <synapseModels.h>

Public Member Functions
	weightUpdateModel ()
	Constructor for weightUpdateModel objects. More...

	~weightUpdateModel ()
	Destructor for weightUpdateModel objects. More...

Public Attributes
string	simCode
	Simulation code that is used for true spikes (only one time step after spike detection) More...

string	simCodeEvnt
	Simulation code that is used for spike events (all the instances where event threshold condition is met) More...

string	simLearnPost
	Simulation code which is used in the learnSynapsesPost kernel/function, where postsynaptic neuron spikes before the presynaptic neuron in the STDP window. More...

string	evntThreshold
	Simulation code for spike event detection. More...

string	synapseDynamics
	Simulation code for synapse dynamics independent of spike detection. More...

string	simCode_supportCode
	Support code is made available within the synapse kernel definition file and is meant to contain user defined device functions that are used in the neuron codes. Preprocessor defines are also allowed if appropriately safeguarded against multiple definition by using ifndef; functions should be declared as "__host__ __device__" to be available for both GPU and CPU versions; note that this support code is available to simCode, evntThreshold and simCodeEvnt. More...

string	simLearnPost_supportCode
	Support code is made available within the synapse kernel definition file and is meant to contain user defined device functions that are used in the neuron codes. Preprocessor defines are also allowed if appropriately safeguarded against multiple definition by using ifndef; functions should be declared as "__host__ __device__" to be available for both GPU and CPU versions. More...

string	synapseDynamics_supportCode
	Support code is made available within the synapse kernel definition file and is meant to contain user defined device functions that are used in the neuron codes. Preprocessor defines are also allowed if appropriately safeguarded against multiple definition by using ifndef; functions should be declared as "__host__ __device__" to be available for both GPU and CPU versions. More...

vector< string >	varNames
	Names of the variables in the postsynaptic model. More...

vector< string >	varTypes
	Types of the variable named above, e.g. "float". Names and types are matched by their order of occurrence in the vector. More...

vector< string >	pNames
	Names of (independent) parameters of the model. More...

vector< string >	dpNames
	Names of dependent parameters of the model. More...

vector< string >	extraGlobalSynapseKernelParameters
	Additional parameter in the neuron kernel; it is translated to a population specific name but otherwise assumed to be one parameter per population rather than per synapse. More...

vector< string >	extraGlobalSynapseKernelParameterTypes
	Additional parameters in the neuron kernel; they are translated to a population specific name but otherwise assumed to be one parameter per population rather than per synapse. More...

dpclass *	dps

bool	needPreSt
	Whether presynaptic spike times are needed or not. More...

bool	needPostSt
	Whether postsynaptic spike times are needed or not. More...

Detailed Description

Class to hold the information that defines a weightupdate model (a model of how spikes affect synaptic (and/or) (mostly) post-synaptic neuron variables. It also allows to define changes in response to post-synaptic spikes/spike-like events.

Constructor & Destructor Documentation

◆ weightUpdateModel()

weightUpdateModel::weightUpdateModel ( )

Constructor for weightUpdateModel objects.

◆ ~weightUpdateModel()

weightUpdateModel::~weightUpdateModel ( )

Destructor for weightUpdateModel objects.

Member Data Documentation

◆ dpNames

vector<string> weightUpdateModel::dpNames

Names of dependent parameters of the model.

◆ dps

dpclass* weightUpdateModel::dps

◆ evntThreshold

string weightUpdateModel::evntThreshold

Simulation code for spike event detection.

◆ extraGlobalSynapseKernelParameters

vector<string> weightUpdateModel::extraGlobalSynapseKernelParameters

Additional parameter in the neuron kernel; it is translated to a population specific name but otherwise assumed to be one parameter per population rather than per synapse.

◆ extraGlobalSynapseKernelParameterTypes

vector<string> weightUpdateModel::extraGlobalSynapseKernelParameterTypes

Additional parameters in the neuron kernel; they are translated to a population specific name but otherwise assumed to be one parameter per population rather than per synapse.

◆ needPostSt

bool weightUpdateModel::needPostSt

Whether postsynaptic spike times are needed or not.

◆ needPreSt

bool weightUpdateModel::needPreSt

Whether presynaptic spike times are needed or not.

◆ pNames

vector<string> weightUpdateModel::pNames

Names of (independent) parameters of the model.

◆ simCode

string weightUpdateModel::simCode

Simulation code that is used for true spikes (only one time step after spike detection)

◆ simCode_supportCode

string weightUpdateModel::simCode_supportCode

Support code is made available within the synapse kernel definition file and is meant to contain user defined device functions that are used in the neuron codes. Preprocessor defines are also allowed if appropriately safeguarded against multiple definition by using ifndef; functions should be declared as "__host__ __device__" to be available for both GPU and CPU versions; note that this support code is available to simCode, evntThreshold and simCodeEvnt.

◆ simCodeEvnt

string weightUpdateModel::simCodeEvnt

Simulation code that is used for spike events (all the instances where event threshold condition is met)

◆ simLearnPost

string weightUpdateModel::simLearnPost

Simulation code which is used in the learnSynapsesPost kernel/function, where postsynaptic neuron spikes before the presynaptic neuron in the STDP window.

◆ simLearnPost_supportCode

string weightUpdateModel::simLearnPost_supportCode

Support code is made available within the synapse kernel definition file and is meant to contain user defined device functions that are used in the neuron codes. Preprocessor defines are also allowed if appropriately safeguarded against multiple definition by using ifndef; functions should be declared as "__host__ __device__" to be available for both GPU and CPU versions.

◆ synapseDynamics

string weightUpdateModel::synapseDynamics

Simulation code for synapse dynamics independent of spike detection.

◆ synapseDynamics_supportCode

string weightUpdateModel::synapseDynamics_supportCode