Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12345]

►Cpygenn.genn_wrapper.CUDABackend._object
►Cpygenn.genn_wrapper.CUDABackend.PreferencesBase
Cpygenn.genn_wrapper.CUDABackend.Preferences
Cpygenn.genn_wrapper.CurrentSourceModels._object
►Cpygenn.genn_wrapper.InitSparseConnectivitySnippet._object
Cpygenn.genn_wrapper.InitSparseConnectivitySnippet.Init
Cpygenn.genn_wrapper.PostsynapticModels._object
Cpygenn.genn_wrapper.WeightUpdateModels._object
►Cpygenn.genn_wrapper.SharedLibraryModel._object
Cpygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_d
Cpygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_f
Cpygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_ld
Cpygenn.genn_wrapper.InitVarSnippet._object
►Cpygenn.genn_wrapper.SingleThreadedCPUBackend._object
►Cpygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase
Cpygenn.genn_wrapper.SingleThreadedCPUBackend.Preferences
►Cpygenn.genn_wrapper.Snippet._object
►Cpygenn.genn_wrapper.Snippet.Base
►Cpygenn.genn_wrapper.InitSparseConnectivitySnippet.Base
Cpygenn.genn_wrapper.InitSparseConnectivitySnippet.Uninitialised
►Cpygenn.genn_wrapper.InitVarSnippet.Base
Cpygenn.genn_wrapper.InitVarSnippet.Uninitialised
►Cpygenn.genn_wrapper.Models.Base
►Cpygenn.genn_wrapper.CurrentSourceModels.Base
Cpygenn.genn_wrapper.CurrentSourceModels.DC
►Cpygenn.genn_wrapper.NeuronModels.Base
Cpygenn.genn_wrapper.NeuronModels.RulkovMap
►Cpygenn.genn_wrapper.PostsynapticModels.Base
Cpygenn.genn_wrapper.PostsynapticModels.ExpCond
►Cpygenn.genn_wrapper.WeightUpdateModels.Base
Cpygenn.genn_wrapper.WeightUpdateModels.StaticPulse
Cpygenn.genn_wrapper.Snippet.DerivedParamFunc
►Cpygenn.genn_wrapper.Models._object
Cpygenn.genn_wrapper.Models.ParamValues
Cpygenn.genn_wrapper.Models.SwigPyIterator
Cpygenn.genn_wrapper.Models.VarInit
Cpygenn.genn_wrapper.Models.VarInitVector
Cpygenn.genn_wrapper.Models.VarValues
►Cpygenn.genn_wrapper.StlContainers._object
Cpygenn.genn_wrapper.StlContainers.DoubleVector
Cpygenn.genn_wrapper.StlContainers.FloatVector
Cpygenn.genn_wrapper.StlContainers.IntVector
Cpygenn.genn_wrapper.StlContainers.LongDoubleVector
Cpygenn.genn_wrapper.StlContainers.LongLongVector
Cpygenn.genn_wrapper.StlContainers.LongVector
Cpygenn.genn_wrapper.StlContainers.ShortVector
Cpygenn.genn_wrapper.StlContainers.SignedCharVector
Cpygenn.genn_wrapper.StlContainers.STD_DPFunc
Cpygenn.genn_wrapper.StlContainers.StringDoublePair
Cpygenn.genn_wrapper.StlContainers.StringDPFPair
Cpygenn.genn_wrapper.StlContainers.StringDPFPairVector
Cpygenn.genn_wrapper.StlContainers.StringPair
Cpygenn.genn_wrapper.StlContainers.StringPairVector
Cpygenn.genn_wrapper.StlContainers.StringStringDoublePairPair
Cpygenn.genn_wrapper.StlContainers.StringStringDoublePairPairVector
Cpygenn.genn_wrapper.StlContainers.StringVector
Cpygenn.genn_wrapper.StlContainers.SwigPyIterator
Cpygenn.genn_wrapper.StlContainers.UnsignedCharVector
Cpygenn.genn_wrapper.StlContainers.UnsignedIntVector
Cpygenn.genn_wrapper.StlContainers.UnsignedLongLongVector
Cpygenn.genn_wrapper.StlContainers.UnsignedLongVector
Cpygenn.genn_wrapper.StlContainers.UnsignedShortVector
►Cpygenn.genn_wrapper.genn_wrapper._object
Cpygenn.genn_wrapper.genn_wrapper.CurrentSource
Cpygenn.genn_wrapper.genn_wrapper.NeuronGroup
Cpygenn.genn_wrapper.genn_wrapper.SynapseGroup
Cpygenn.genn_wrapper.NeuronModels._object
►CSnippet::Base	Base class for all code snippets
►CInitSparseConnectivitySnippet::Base
►CInitSparseConnectivitySnippet::FixedProbabilityBase
CInitSparseConnectivitySnippet::FixedProbability
CInitSparseConnectivitySnippet::FixedProbabilityNoAutapse
CInitSparseConnectivitySnippet::OneToOne	Initialises connectivity to a 'one-to-one' diagonal matrix
CInitSparseConnectivitySnippet::Uninitialised	Used to mark connectivity as uninitialised - no initialisation code will be run
►CInitVarSnippet::Base
CInitVarSnippet::Constant	Initialises variable to a constant value
CInitVarSnippet::Exponential	Initialises variable by sampling from the exponential distribution
CInitVarSnippet::Gamma	Initialises variable by sampling from the exponential distribution
CInitVarSnippet::Normal	Initialises variable by sampling from the normal distribution
CInitVarSnippet::Uniform	Initialises variable by sampling from the uniform distribution
CInitVarSnippet::Uninitialised	Used to mark variables as uninitialised - no initialisation code will be run
►CNewModels::Base	Base class for all models - in addition to the parameters snippets have, models can have state variables
►CCurrentSourceModels::Base	Base class for all current source models
CCurrentSourceModels::DC	DC source
CCurrentSourceModels::GaussianNoise	Noisy current source with noise drawn from normal distribution
►CNewModels::LegacyWrapper< Base, neuronModel, nModels >
CNeuronModels::LegacyWrapper	Wrapper around legacy weight update models stored in nModels array of neuronModel objects
►CNewModels::LegacyWrapper< Base, postSynModel, postSynModels >
CPostsynapticModels::LegacyWrapper
►CNewModels::LegacyWrapper< Base, weightUpdateModel, weightUpdateModels >
CWeightUpdateModels::LegacyWrapper	Wrapper around legacy weight update models stored in weightUpdateModels array of weightUpdateModel objects
►CNeuronModels::Base	Base class for all neuron models
►CNeuronModels::Izhikevich	Izhikevich neuron with fixed parameters [1]
CNeuronModels::IzhikevichVariable	Izhikevich neuron with variable parameters [1]
CNeuronModels::Poisson	Poisson neurons
CNeuronModels::PoissonNew	Poisson neurons
CNeuronModels::RulkovMap	Rulkov Map neuron
CNeuronModels::SpikeSource	Empty neuron which allows setting spikes from external sources
CNeuronModels::SpikeSourceArray	Spike source array
►CNeuronModels::TraubMiles	Hodgkin-Huxley neurons with Traub & Miles algorithm
CNeuronModels::TraubMilesAlt	Hodgkin-Huxley neurons with Traub & Miles algorithm
CNeuronModels::TraubMilesFast	Hodgkin-Huxley neurons with Traub & Miles algorithm: Original fast implementation, using 25 inner iterations
CNeuronModels::TraubMilesNStep	Hodgkin-Huxley neurons with Traub & Miles algorithm
►CPostsynapticModels::Base	Base class for all postsynaptic models
CPostsynapticModels::DeltaCurr	Simple delta current synapse
CPostsynapticModels::ExpCond	Exponential decay with synaptic input treated as a conductance value
►CWeightUpdateModels::Base	Base class for all weight update models
CWeightUpdateModels::PiecewiseSTDP	This is a simple STDP rule including a time delay for the finite transmission speed of the synapse
CWeightUpdateModels::StaticGraded	Graded-potential, static synapse
CWeightUpdateModels::StaticPulse	Pulse-coupled, static synapse
CWeightUpdateModels::StaticPulseDendriticDelay	Pulse-coupled, static synapse with heterogenous dendritic delays
►CBaseIter
CPairKeyConstIter< BaseIter >	Custom iterator for iterating through the keys of containers containing pairs
CCodeStream::CB	A close bracket marker
CCStopWatch	Helper class for timing sections of host code in a cross-plarform manner
CCurrentSource
►Cdpclass
CexpDecayDp	Class defining the dependent parameter for exponential decay
CpwSTDP	TODO This class definition may be code-generated in a future release
Crulkovdp	Class defining the dependent parameters of the Rulkov map neuron
CFunctionTemplate
CGenericFunction
CSnippet::Init< SnippetBase >
►CSnippet::Init< Base >
CInitSparseConnectivitySnippet::Init
►CSnippet::Init< InitVarSnippet::Base >
CNewModels::VarInit
CNameIterCtx< Container >
CNeuronGroup
CneuronModel	Class for specifying a neuron model
CNNmodel
CCodeStream::OB	An open bracket marker
►Cobject
Cgenerate_swig_interfaces.CppBlockScope
Cgenerate_swig_interfaces.SwigAsIsScope
Cgenerate_swig_interfaces.SwigExtendScope
Cgenerate_swig_interfaces.SwigInitScope
Cgenerate_swig_interfaces.SwigInlineScope
Cgenerate_swig_interfaces.SwigModuleGenerator	A helper class for generating SWIG interface files
►Cpygenn.genn_groups.Group	Parent class of NeuronGroup, SynapseGroup and CurrentSource
Cpygenn.genn_groups.CurrentSource	Class representing a current injection into a group of neurons
Cpygenn.genn_groups.CurrentSource	Class representing a current injection into a group of neurons
Cpygenn.genn_groups.NeuronGroup	Class representing a group of neurons
Cpygenn.genn_groups.NeuronGroup	Class representing a group of neurons
Cpygenn.genn_groups.SynapseGroup	Class representing synaptic connection between two groups of neurons
Cpygenn.genn_groups.SynapseGroup	Class representing synaptic connection between two groups of neurons
Cpygenn.genn_groups.Group	Parent class of NeuronGroup, SynapseGroup and CurrentSource
Cpygenn.genn_model.GeNNModel	GeNNModel class This class helps to define, build and run a GeNN model from python
Cpygenn.genn_model.GeNNModel	GeNNModel class This class helps to define, build and run a GeNN model from python
Cpygenn.model_preprocessor.Variable	Class holding information about GeNN variables
Cpygenn.model_preprocessor.Variable	Class holding information about GeNN variables
►Costream
CCodeStream	Helper class for generating code - automatically inserts brackets, indents etc
CpostSynModel	Class to hold the information that defines a post-synaptic model (a model of how synapses affect post-synaptic neuron variables, classically in the form of a synaptic current). It also allows to define an equation for the dynamics that can be applied to the summed synaptic input variable "insyn"
CRaggedProjection< PostIndexType >	Row-major ordered sparse matrix structure in 'ragged' format
CCodeStream::Scope
CSparseProjection	Class (struct) for defining a spars connectivity projection
CstopWatch
CSynapseGroup
CSnippet::ValueBase< NumVars >
CSnippet::ValueBase< 0 >
CNewModels::VarInitContainerBase< NumVars >
CNewModels::VarInitContainerBase< 0 >
CweightUpdateModel	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
►CModelBase
CNewModels::LegacyWrapper< ModelBase, LegacyModelType, ModelArray >	Wrapper around old-style models stored in global arrays and referenced by index