GeNN
4.9.0
GPU enhanced Neuronal Networks (GeNN)
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▼NCodeGenerator | Helper class for generating code - automatically inserts brackets, indents etc |
▼NCUDA | |
NOptimiser | |
▼NOpenCL | |
NOptimiser | |
NUtils | |
NPresynapticUpdateStrategySIMT | |
▼NSingleThreadedCPU | |
NOptimiser | |
NCurrentSourceModels | |
NCustomUpdateModels | |
Nfilesystem | |
NInitSparseConnectivitySnippet | Base class for all sparse connectivity initialisation snippets |
NInitToeplitzConnectivitySnippet | Base class for all toeplitz connectivity initialisation snippets |
NInitVarSnippet | Base class for all value initialisation snippets |
NLogging | |
NModels | Base class for all models - in addition to the parameters snippets have, models can have state variables |
NNeuronModels | |
Nplog | |
NPostsynapticModels | |
Npugi | |
▼Npygenn | |
Ngenn_groups | This module provides classes which automate model checks and parameter conversions for GeNN Groups |
Ngenn_model | This module provides the GeNNModel class to simplify working with pygenn module and helper functions to derive custom model classes |
Nmodel_preprocessor | This module provides functions for model validation, parameter type conversions and defines class Variable |
Nr123 | |
NSnippet | |
▼NSpineMLSimulator | |
NConnectors | |
NInput | |
NInputValue | |
NLogOutput | |
NModelProperty | |
NUtils | |
NWeightUpdateModels |