GeNN
3.3.0
GPU enhanced Neuronal Networks (GeNN)
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#include <initSparseConnectivitySnippet.h>
Public Member Functions | |
virtual std::string | getRowBuildCode () const override=0 |
SET_ROW_BUILD_STATE_VARS ({{"prevJ", {"int", -1}}}) | |
virtual StringVec | getParamNames () const override |
Gets names of of (independent) model parameters. More... | |
virtual DerivedParamVec | getDerivedParams () const override |
SET_CALC_MAX_ROW_LENGTH_FUNC ([](unsigned int numPre, unsigned int numPost, const std::vector< double > &pars) { const double quantile=pow(0.9999, 1.0/(double) numPre);return binomialInverseCDF(quantile, numPost, pars[0]);}) | |
SET_CALC_MAX_COL_LENGTH_FUNC ([](unsigned int numPre, unsigned int numPost, const std::vector< double > &pars) { const double quantile=pow(0.9999, 1.0/(double) numPost);return binomialInverseCDF(quantile, numPre, pars[0]);}) | |
Public Member Functions inherited from InitSparseConnectivitySnippet::Base | |
virtual NameTypeValVec | getRowBuildStateVars () const |
virtual CalcMaxLengthFunc | getCalcMaxRowLengthFunc () const |
Get function to calculate the maximum row length of this connector based on the parameters and the size of the pre and postsynaptic population. More... | |
virtual CalcMaxLengthFunc | getCalcMaxColLengthFunc () const |
Get function to calculate the maximum column length of this connector based on the parameters and the size of the pre and postsynaptic population. More... | |
virtual StringPairVec | getExtraGlobalParams () const |
Public Member Functions inherited from Snippet::Base | |
virtual | ~Base () |
Additional Inherited Members | |
Public Types inherited from InitSparseConnectivitySnippet::Base | |
typedef std::function< unsigned int(unsigned int, unsigned int, const std::vector< double > &)> | CalcMaxLengthFunc |
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 |
Base class for snippets which initialise connectivity with a fixed probability of a synapse existing between a pair of pre and postsynaptic neurons.
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inlineoverridevirtual |
Gets names of derived model parameters and the function objects to call to Calculate their value from a vector of model parameter values
Reimplemented from Snippet::Base.
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inlineoverridevirtual |
Gets names of of (independent) model parameters.
Reimplemented from Snippet::Base.
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overridepure virtual |
Reimplemented from InitSparseConnectivitySnippet::Base.
InitSparseConnectivitySnippet::FixedProbabilityBase::SET_CALC_MAX_COL_LENGTH_FUNC | ( | [] (unsigned int numPre, unsigned int numPost, const std::vector< double > &pars) { const double quantile=pow(0.9999, 1.0/(double) numPost);return binomialInverseCDF(quantile, numPre, pars[0]);} | ) |
InitSparseConnectivitySnippet::FixedProbabilityBase::SET_CALC_MAX_ROW_LENGTH_FUNC | ( | [] (unsigned int numPre, unsigned int numPost, const std::vector< double > &pars) { const double quantile=pow(0.9999, 1.0/(double) numPre);return binomialInverseCDF(quantile, numPost, pars[0]);} | ) |
InitSparseConnectivitySnippet::FixedProbabilityBase::SET_ROW_BUILD_STATE_VARS | ( | {{"prevJ", {"int", -1}}} | ) |