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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 |