GeNN  2.2.3
GPU enhanced Neuronal Networks (GeNN)
pwSTDP Class Reference

TODO This class definition may be code-generated in a future release. More...

#include <synapseModels.h>

Inheritance diagram for pwSTDP:
dpclass

Public Member Functions

double calculateDerivedParameter (int index, vector< double > pars, double dt=1.0)
 
double lim0 (vector< double > pars, double dt)
 
double lim1 (vector< double > pars, double dt)
 
double slope0 (vector< double > pars, double dt)
 
double slope1 (vector< double > pars, double dt)
 
double off0 (vector< double > pars, double dt)
 
double off1 (vector< double > pars, double dt)
 
double off2 (vector< double > pars, double dt)
 

Detailed Description

TODO This class definition may be code-generated in a future release.

This class defines derived parameters for the learn1synapse standard weightupdate model

Member Function Documentation

double pwSTDP::calculateDerivedParameter ( int  index,
vector< double >  pars,
double  dt = 1.0 
)
inlinevirtual

Reimplemented from dpclass.

double pwSTDP::lim0 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::lim1 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::off0 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::off1 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::off2 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::slope0 ( vector< double >  pars,
double  dt 
)
inline
double pwSTDP::slope1 ( vector< double >  pars,
double  dt 
)
inline

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