| ►NCodeGenerator | Helper class for generating code - automatically inserts brackets, indents etc |
| ►NCUDA | |
| CBackend | |
| CPreferences | Preferences for CUDA backend |
| ►NOpenCL | |
| CBackend | |
| CPreferences | Preferences for OpenCL backend |
| ►NPresynapticUpdateStrategySIMT | |
| CBase | |
| CPostSpan | Postsynaptic parallelism |
| CPostSpanBitmask | Postsynaptic parallelism |
| CPostSpanToeplitz | Postsynaptic parallelism for Toeplitz connectivity |
| CPreSpan | Presynaptic parallelism |
| CPreSpanProcedural | Presynaptic parallelism with procedural connectivity |
| ►NSingleThreadedCPU | |
| CBackend | |
| CPreferences | |
| ►CBackendBase | |
| CReductionTarget | Simple struct to hold reduction targets |
| CBackendSIMT | Base class for Single Instruction Multiple Thread style backends |
| ►CCodeStream | |
| CCB | A close bracket marker |
| COB | An open bracket marker |
| CScope | |
| CCustomUpdateGroupMerged | |
| CCustomUpdateHostReductionGroupMerged | |
| CCustomUpdateHostReductionGroupMergedBase | |
| CCustomUpdateInitGroupMerged | |
| CCustomUpdateInitGroupMergedBase | |
| CCustomUpdateTransposeWUGroupMerged | |
| CCustomUpdateWUGroupMerged | |
| CCustomUpdateWUGroupMergedBase | |
| CCustomWUUpdateHostReductionGroupMerged | |
| CCustomWUUpdateInitGroupMerged | |
| CCustomWUUpdateSparseInitGroupMerged | |
| CGroupMerged | |
| CMemAlloc | |
| ►CModelSpecMerged | |
| CEGPField | Immutable structure for tracking fields of merged group structure containing EGPs |
| CMergedEGP | Immutable structure for tracking where an extra global variable ends up after merging |
| CNeuronGroupMergedBase | |
| CNeuronInitGroupMerged | |
| CNeuronPrevSpikeTimeUpdateGroupMerged | |
| CNeuronSpikeQueueUpdateGroupMerged | |
| CNeuronUpdateGroupMerged | |
| CPostsynapticUpdateGroupMerged | |
| CPreferencesBase | Base class for backend preferences - can be accessed via a global in 'classic' C++ code generator |
| CPresynapticUpdateGroupMerged | |
| ►CSubstitutions | |
| CFunctionTemplate | |
| CSupportCodeMerged | |
| CSynapseConnectivityHostInitGroupMerged | |
| CSynapseConnectivityInitGroupMerged | |
| CSynapseDendriticDelayUpdateGroupMerged | |
| CSynapseDynamicsGroupMerged | |
| CSynapseGroupMergedBase | |
| CSynapseInitGroupMerged | |
| CSynapseSparseInitGroupMerged | |
| CTeeBuf | |
| CTeeStream | |
| ►NCurrentSourceModels | |
| CBase | Base class for all current source models |
| CDC | DC source |
| CGaussianNoise | Noisy current source with noise drawn from normal distribution |
| CPoissonExp | |
| ►NCustomUpdateModels | |
| CBase | Base class for all current source models |
| CTranspose | Minimal custom update model for calculating tranpose |
| ►NInitSparseConnectivitySnippet | Base class for all sparse connectivity initialisation snippets |
| CBase | |
| CConv2D | |
| CFixedNumberPostWithReplacement | Initialises connectivity with a fixed number of random synapses per row |
| CFixedNumberPreWithReplacement | Initialises connectivity with a fixed number of random synapses per column |
| CFixedNumberTotalWithReplacement | |
| CFixedProbability | |
| CFixedProbabilityBase | |
| CFixedProbabilityNoAutapse | |
| CInit | |
| COneToOne | Initialises connectivity to a 'one-to-one' diagonal matrix |
| CUninitialised | Used to mark connectivity as uninitialised - no initialisation code will be run |
| ►NInitToeplitzConnectivitySnippet | Base class for all toeplitz connectivity initialisation snippets |
| CAvgPoolConv2D | |
| CBase | |
| CConv2D | |
| CInit | |
| CUninitialised | Used to mark connectivity as uninitialised - no initialisation code will be run |
| ►NInitVarSnippet | Base class for all value initialisation snippets |
| CBase | |
| CBinomial | Initialises variable by sampling from the binomial distribution |
| CConstant | Initialises variable to a constant value |
| CExponential | Initialises variable by sampling from the exponential distribution |
| CGamma | Initialises variable by sampling from the gamma distribution |
| CKernel | Used to initialise synapse variables from a kernel |
| CNormal | Initialises variable by sampling from the normal distribution |
| CNormalClipped | |
| CNormalClippedDelay | |
| CUniform | Initialises variable by sampling from the uniform distribution |
| CUninitialised | Used to mark variables as uninitialised - no initialisation code will be run |
| ►NModels | Base class for all models - in addition to the parameters snippets have, models can have state variables |
| ►CBase | |
| CEGPRef | |
| CVar | A variable has a name, a type and an access type |
| CVarRef | |
| CEGPReference | |
| CVarInit | |
| CVarReference | |
| CVarReferenceBase | |
| CWUVarReference | |
| ►NNeuronModels | |
| CBase | Base class for all neuron models |
| CIzhikevich | Izhikevich neuron with fixed parameters [1] |
| CIzhikevichVariable | Izhikevich neuron with variable parameters [1] |
| CLIF | |
| CPoisson | Poisson neurons |
| CPoissonNew | Poisson neurons |
| CRulkovMap | Rulkov Map neuron |
| CSpikeSource | Empty neuron which allows setting spikes from external sources |
| CSpikeSourceArray | Spike source array |
| CTraubMiles | Hodgkin-Huxley neurons with Traub & Miles algorithm |
| CTraubMilesAlt | Hodgkin-Huxley neurons with Traub & Miles algorithm |
| CTraubMilesFast | Hodgkin-Huxley neurons with Traub & Miles algorithm: Original fast implementation, using 25 inner iterations |
| CTraubMilesNStep | Hodgkin-Huxley neurons with Traub & Miles algorithm |
| ►NPostsynapticModels | |
| CBase | Base class for all postsynaptic models |
| CDeltaCurr | Simple delta current synapse |
| CExpCond | Exponential decay with synaptic input treated as a conductance value |
| CExpCurr | Exponential decay with synaptic input treated as a current value |
| ►Npygenn | |
| ►Ngenn_groups | This module provides classes which automate model checks and parameter conversions for GeNN Groups |
| CCurrentSource | Class representing a current injection into a group of neurons |
| CCustomUpdate | Class representing a custom update |
| CGroup | Parent class of NeuronGroup, SynapseGroup and CurrentSource |
| CNeuronGroup | Class representing a group of neurons |
| CSynapseGroup | Class representing synaptic connection between two groups of neurons |
| ►Ngenn_model | This module provides the GeNNModel class to simplify working with pygenn module and helper functions to derive custom model classes |
| CGeNNModel | GeNNModel class This class helps to define, build and run a GeNN model from python |
| ►Nmodel_preprocessor | This module provides functions for model validation, parameter type conversions and defines class Variable |
| CExtraGlobalParameter | Class holding information about GeNN extra global paramete |
| CVariable | Class holding information about GeNN variables |
| ►NSnippet | |
| ►CBase | Base class for all code snippets |
| CDerivedParam | A derived parameter has a name and a function for obtaining its value |
| CEGP | An extra global parameter has a name and a type |
| CParamVal | Additional input variables, row state variables and other things have a name, a type and an initial value |
| CInit | |
| CInitialiserContainerBase | |
| CInitialiserContainerBase< V, 0 > | |
| ►NSpineMLSimulator | |
| ►NInput | |
| CAnalogue | |
| CBase | |
| CInterSpikeIntervalBase | |
| CPoissonSpikeRate | |
| CRegularSpikeRate | |
| CSpikeBase | |
| CSpikeTime | |
| ►NInputValue | |
| CBase | |
| CConstant | |
| CConstantArray | |
| CExternal | |
| CExternalNetwork | |
| CScalarBase | |
| CTimeVarying | |
| CTimeVaryingArray | |
| ►NLogOutput | |
| CAnalogueBase | |
| CAnalogueExternal | |
| CAnalogueFile | |
| CAnalogueNetwork | |
| CBase | |
| CEvent | |
| ►NModelProperty | |
| CBase | |
| CExponentialDistribution | |
| CFixed | |
| CNormalDistribution | |
| CUniformDistribution | |
| CValueList | |
| CNetworkClient | |
| CSimulator | |
| CStateVar | |
| CTimer | |
| CTimerAccumulate | |
| ►NUtils | |
| CSHA1Hash | Functor for generating a hash suitable for use in std::unordered_map etc (i.e. size_t size) from a SHA1 digests |
| ►NWeightUpdateModels | |
| CBase | Base class for all weight update models |
| CPiecewiseSTDP | This is a simple STDP rule including a time delay for the finite transmission speed of the synapse |
| CStaticGraded | Graded-potential, static synapse |
| CStaticPulse | Pulse-coupled, static synapse |
| CStaticPulseDendriticDelay | Pulse-coupled, static synapse with heterogenous dendritic delays |
| CAnalogueRecorder | |
| CclrngLfsr113Stream_ | |
| CclrngLfsr113StreamCreator_ | |
| CclrngLfsr113StreamState | |
| CclrngPhilox432Counter_ | |
| CclrngPhilox432SB_ | |
| CclrngPhilox432Stream_ | |
| CclrngPhilox432StreamCreator_ | |
| CclrngPhilox432StreamState | |
| CCurrentSource | |
| CCurrentSourceInternal | |
| CCustomUpdate | |
| CCustomUpdateBase | |
| CCustomUpdateInternal | |
| CCustomUpdateWU | |
| CCustomUpdateWUInternal | |
| CGenerateRunBase | |
| CModelSpec | Object used for specifying a neuronal network model |
| CModelSpecInternal | |
| ►CNeuronGroup | |
| CSpikeEventThreshold | Structure used for storing spike event data |
| CNeuronGroupInternal | |
| CSharedLibraryModel | |
| CSpikeRecorder | Class to read spikes from neuron groups |
| CSpikeWriterText | Class to write spikes to text file |
| CSpikeWriterTextCached | Class to write spikes to text file, caching in memory before writing |
| CSynapseGroup | |
| CSynapseGroupInternal | |
| CTimer | A generic timer which can give the current elapsed time |
| CTimerAccumulate | A timer which adds its elapsed time to an accumulator variable on destruction |
1.8.13