GeNN
4.9.0
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 ParamValVec | getRowBuildStateVars () const |
virtual std::string | getColBuildCode () const |
virtual ParamValVec | getColBuildStateVars () const |
virtual std::string | getHostInitCode () 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 CalcKernelSizeFunc | getCalcKernelSizeFunc () const |
Get function to calculate kernel size required for this conenctor based on its parameters. More... | |
boost::uuids::detail::sha1::digest_type | getHashDigest () const |
Update hash from snippet. More... | |
void | validate () const |
Validate names of parameters etc. More... | |
Public Member Functions inherited from Snippet::Base | |
virtual | ~Base () |
virtual EGPVec | getExtraGlobalParams () const |
size_t | getExtraGlobalParamIndex (const std::string ¶mName) const |
Find the index of a named extra global parameter. More... | |
Additional Inherited Members | |
Public Types inherited from InitSparseConnectivitySnippet::Base | |
typedef std::function< unsigned int(unsigned int, unsigned int, const std::vector< double > &)> | CalcMaxLengthFunc |
typedef std::function< std::vector< unsigned int >const std::vector< double > &)> | CalcKernelSizeFunc |
Public Types inherited from Snippet::Base | |
typedef std::vector< std::string > | StringVec |
typedef std::vector< EGP > | EGPVec |
typedef std::vector< ParamVal > | ParamValVec |
typedef std::vector< DerivedParam > | DerivedParamVec |
Protected Member Functions inherited from Snippet::Base | |
void | updateHash (boost::uuids::detail::sha1 &hash) const |
void | validate () const |
Validate names of parameters etc. More... | |
Static Protected Member Functions inherited from Snippet::Base | |
template<typename T > | |
static size_t | getNamedVecIndex (const std::string &name, const std::vector< T > &vec) |
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}} | ) |