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GeNN
2.2.3
GPU enhanced Neuronal Networks (GeNN)
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GeNN
2.2.3
GPU enhanced Neuronal Networks (GeNN)
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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... | |
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.
| weightUpdateModel::weightUpdateModel | ( | ) |
Constructor for weightUpdateModel objects.
| weightUpdateModel::~weightUpdateModel | ( | ) |
Destructor for weightUpdateModel objects.
| vector<string> weightUpdateModel::dpNames |
Names of dependent parameters of the model.
| dpclass* weightUpdateModel::dps |
| string weightUpdateModel::evntThreshold |
Simulation code for spike event detection.
| 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.
| 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.
| bool weightUpdateModel::needPostSt |
Whether postsynaptic spike times are needed or not.
| bool weightUpdateModel::needPreSt |
Whether presynaptic spike times are needed or not.
| vector<string> weightUpdateModel::pNames |
Names of (independent) parameters of the model.
| string weightUpdateModel::simCode |
Simulation code that is used for true spikes (only one time step after spike detection)
| 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.
| string weightUpdateModel::simCodeEvnt |
Simulation code that is used for spike events (all the instances where event threshold condition is met)
| 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.
| 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.
| string weightUpdateModel::synapseDynamics |
Simulation code for synapse dynamics independent of spike detection.
| string weightUpdateModel::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.
| vector<string> weightUpdateModel::varNames |
Names of the variables in the postsynaptic model.
| vector<string> weightUpdateModel::varTypes |
Types of the variable named above, e.g. "float". Names and types are matched by their order of occurrence in the vector.
1.8.11 
