GeNN  3.3.0
GPU enhanced Neuronal Networks (GeNN)
InitVarSnippet::Exponential Class Reference

Initialises variable by sampling from the exponential distribution. More...

#include <initVarSnippet.h>

Inheritance diagram for InitVarSnippet::Exponential:
InitVarSnippet::Base Snippet::Base

Public Member Functions

 DECLARE_SNIPPET (InitVarSnippet::Exponential, 1)
 
 SET_CODE ("$(value) = $(lambda) * $(gennrand_exponential);")
 
virtual StringVec getParamNames () const override
 Gets names of of (independent) model parameters. More...
 
- Public Member Functions inherited from InitVarSnippet::Base
virtual std::string getCode () const
 
- Public Member Functions inherited from Snippet::Base
virtual ~Base ()
 
virtual DerivedParamVec getDerivedParams () const
 

Additional Inherited Members

- Public Types inherited from Snippet::Base
typedef std::function< double(const std::vector< double > &, double)> DerivedParamFunc
 
typedef std::vector< std::string > StringVec
 
typedef std::vector< std::pair< std::string, std::string > > StringPairVec
 
typedef std::vector< std::pair< std::string, std::pair< std::string, double > > > NameTypeValVec
 
typedef std::vector< std::pair< std::string, DerivedParamFunc > > DerivedParamVec
 

Detailed Description

Initialises variable by sampling from the exponential distribution.

This snippet takes 1 parameter:

  • lambda - mean event rate (events per unit time/distance)

Member Function Documentation

◆ DECLARE_SNIPPET()

InitVarSnippet::Exponential::DECLARE_SNIPPET ( InitVarSnippet::Exponential  ,
 
)

◆ getParamNames()

virtual StringVec InitVarSnippet::Exponential::getParamNames ( ) const
inlineoverridevirtual

Gets names of of (independent) model parameters.

Reimplemented from Snippet::Base.

◆ SET_CODE()

InitVarSnippet::Exponential::SET_CODE ( )

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