- a -

• autoChooseDevice : pygenn.genn_wrapper.CUDABackend.Preferences

- c -

• classToExtend : generate_swig_interfaces.SwigExtendScope
• colLength : RaggedProjection< PostIndexType >
• connections_set : pygenn.genn_groups.SynapseGroup
• connectivity_initialiser : pygenn.genn_groups.SynapseGroup
• connN : SparseProjection
• container : NameIterCtx< Container >
• current_source_model : pygenn.genn_groups.CurrentSource
• current_sources : pygenn.genn_model.GeNNModel

- d -

• debugCode : pygenn.genn_wrapper.CUDABackend.PreferencesBase , pygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase
• default_var_location : pygenn.genn_model.GeNNModel
• default_var_mode : pygenn.genn_model.GeNNModel
• doublePrecisionTemplate : FunctionTemplate
• dpNames : neuronModel , postSynModel , weightUpdateModel
• dps : neuronModel , postSynModel , weightUpdateModel
• dT : pygenn.genn_model.GeNNModel

- e -

• evntThreshold : weightUpdateModel
• extra_global_params : pygenn.genn_groups.Group
• extraGlobalNeuronKernelParameters : neuronModel
• extraGlobalNeuronKernelParameterTypes : neuronModel
• extraGlobalSynapseKernelParameters : weightUpdateModel
• extraGlobalSynapseKernelParameterTypes : weightUpdateModel

- f -

• first : pygenn.genn_wrapper.StlContainers.StringDoublePair , pygenn.genn_wrapper.StlContainers.StringDPFPair , pygenn.genn_wrapper.StlContainers.StringPair , pygenn.genn_wrapper.StlContainers.StringStringDoublePairPair

- g -

• genericName : FunctionTemplate , GenericFunction
• get_instance : pygenn.genn_wrapper.CurrentSourceModels.DC , pygenn.genn_wrapper.InitSparseConnectivitySnippet.Uninitialised , pygenn.genn_wrapper.InitVarSnippet.Uninitialised , pygenn.genn_wrapper.NeuronModels.RulkovMap , pygenn.genn_wrapper.PostsynapticModels.ExpCond , pygenn.genn_wrapper.WeightUpdateModels.StaticPulse

- i -

• ind : pygenn.genn_groups.SynapseGroup , RaggedProjection< PostIndexType > , SparseProjection
• indInG : pygenn.genn_groups.SynapseGroup , SparseProjection
• init_required : pygenn.model_preprocessor.Variable
• init_val : pygenn.model_preprocessor.Variable
• is_spike_source_array : pygenn.genn_groups.NeuronGroup

- l -

• Level : CodeStream::CB , CodeStream::OB

- m -

• m_LegacyTypeIndex : NewModels::LegacyWrapper< ModelBase, LegacyModelType, ModelArray >
• make_param_values : pygenn.genn_wrapper.InitSparseConnectivitySnippet.Uninitialised , pygenn.genn_wrapper.InitVarSnippet.Uninitialised
• maxColLength : RaggedProjection< PostIndexType >
• maxRowLength : RaggedProjection< PostIndexType >
• model_name : pygenn.genn_model.GeNNModel

- n -

• name : generate_swig_interfaces.SwigModuleGenerator , pygenn.genn_groups.Group , pygenn.model_preprocessor.Variable
• nameBegin : NameIterCtx< Container >
• nameEnd : NameIterCtx< Container >
• needPostSt : weightUpdateModel
• needPreSt : weightUpdateModel
• needs_allocation : pygenn.model_preprocessor.Variable
• neuron : pygenn.genn_groups.NeuronGroup
• neuron_populations : pygenn.genn_model.GeNNModel
• numArguments : FunctionTemplate , GenericFunction

- o -

• optimiseBlockSize : pygenn.genn_wrapper.CUDABackend.Preferences
• optimizeCode : pygenn.genn_wrapper.CUDABackend.PreferencesBase , pygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase
• os : generate_swig_interfaces.CppBlockScope , generate_swig_interfaces.SwigAsIsScope , generate_swig_interfaces.SwigExtendScope , generate_swig_interfaces.SwigInitScope , generate_swig_interfaces.SwigInlineScope , generate_swig_interfaces.SwigModuleGenerator
• outFile : generate_swig_interfaces.SwigModuleGenerator

- p -

• pNames : neuronModel , postSynModel , weightUpdateModel
• pop : pygenn.genn_groups.CurrentSource , pygenn.genn_groups.NeuronGroup , pygenn.genn_groups.SynapseGroup
• post_vars : pygenn.genn_groups.SynapseGroup
• postsyn : pygenn.genn_groups.SynapseGroup
• postSynDecay : postSynModel
• postSyntoCurrent : postSynModel
• pre_vars : pygenn.genn_groups.SynapseGroup
• preInd : SparseProjection
• psm_vars : pygenn.genn_groups.SynapseGroup

- r -

• remap : RaggedProjection< PostIndexType > , SparseProjection
• resetCode : neuronModel
• revInd : SparseProjection
• revIndInG : SparseProjection
• row_lengths : pygenn.genn_groups.SynapseGroup
• rowLength : RaggedProjection< PostIndexType >

- s -

• second : pygenn.genn_wrapper.StlContainers.StringDoublePair , pygenn.genn_wrapper.StlContainers.StringDPFPair , pygenn.genn_wrapper.StlContainers.StringPair , pygenn.genn_wrapper.StlContainers.StringStringDoublePairPair
• showPtxInfo : pygenn.genn_wrapper.CUDABackend.Preferences
• simCode : neuronModel , weightUpdateModel
• simCode_supportCode : weightUpdateModel
• simCodeEvnt : weightUpdateModel
• simLearnPost : weightUpdateModel
• simLearnPost_supportCode : weightUpdateModel
• singlePrecisionTemplate : FunctionTemplate
• SpanType_POSTSYNAPTIC : pygenn.genn_wrapper.genn_wrapper.SynapseGroup
• SpanType_PRESYNAPTIC : pygenn.genn_wrapper.genn_wrapper.SynapseGroup
• spike_count : pygenn.genn_groups.NeuronGroup
• spike_que_ptr : pygenn.genn_groups.NeuronGroup
• spikes : pygenn.genn_groups.NeuronGroup
• src : pygenn.genn_groups.SynapseGroup
• start : stopWatch
• step_time : pygenn.genn_model.GeNNModel
• stop : stopWatch
• supportCode : neuronModel , postSynModel
• synapse_order : pygenn.genn_groups.SynapseGroup
• synapse_populations : pygenn.genn_model.GeNNModel
• synapseDynamics : weightUpdateModel
• synapseDynamics_supportCode : weightUpdateModel
• synRemap : RaggedProjection< PostIndexType >
• synRemapSize : RaggedProjection< PostIndexType >

- t -

• T : pygenn.genn_model.GeNNModel
• target_pop : pygenn.genn_groups.CurrentSource
• this : pygenn.genn_wrapper.CUDABackend.Preferences , pygenn.genn_wrapper.CUDABackend.PreferencesBase , pygenn.genn_wrapper.InitSparseConnectivitySnippet.Init , pygenn.genn_wrapper.InitSparseConnectivitySnippet.Uninitialised , pygenn.genn_wrapper.InitVarSnippet.Uninitialised , pygenn.genn_wrapper.Models.ParamValues , pygenn.genn_wrapper.Models.VarInit , pygenn.genn_wrapper.Models.VarValues , pygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_d , pygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_f , pygenn.genn_wrapper.SharedLibraryModel.SharedLibraryModel_ld , pygenn.genn_wrapper.SingleThreadedCPUBackend.Preferences , pygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase , pygenn.genn_wrapper.Snippet.DerivedParamFunc , pygenn.genn_wrapper.StlContainers.STD_DPFunc , pygenn.genn_wrapper.StlContainers.StringDoublePair , pygenn.genn_wrapper.StlContainers.StringDPFPair , pygenn.genn_wrapper.StlContainers.StringPair , pygenn.genn_wrapper.StlContainers.StringStringDoublePairPair
• thresholdConditionCode : neuronModel
• tmpVarNames : neuronModel
• tmpVarTypes : neuronModel
• trg : pygenn.genn_groups.SynapseGroup
• type : pygenn.genn_groups.NeuronGroup , pygenn.model_preprocessor.Variable

- u -

• use_backend : pygenn.genn_model.GeNNModel
• use_cpu : pygenn.genn_model.GeNNModel
• userCxxFlagsGNU : pygenn.genn_wrapper.CUDABackend.PreferencesBase , pygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase
• userNvccFlags : pygenn.genn_wrapper.CUDABackend.Preferences
• userNvccFlagsGNU : pygenn.genn_wrapper.CUDABackend.PreferencesBase , pygenn.genn_wrapper.SingleThreadedCPUBackend.PreferencesBase

- v -

• values : pygenn.model_preprocessor.Variable
• varNames : neuronModel , postSynModel , weightUpdateModel
• vars : pygenn.genn_groups.Group
• varTypes : neuronModel , postSynModel , weightUpdateModel
• view : pygenn.model_preprocessor.Variable

- w -

• w_update : pygenn.genn_groups.SynapseGroup