Comments (1)
This is partially covered in the documentation under "Suggestions for users", also the tutorials and user projects should be enough to give users an idea of how to use GeNN functions in their code.
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Related Issues (20)
- PyGeNN unable to load CUDA backend extension on Windows
- Use async memcpy for copying to device
- Readme is deeply confusing bearing in mind that most users only care about PyGeNN
- GeNN does not complain when an EGP is not initialised
- Testing for unloading of models
- Constant cache issues HOT 3
- Improve shared library discovery during setup.py HOT 1
- Extend Python/C++ dual documentation system to embed the choice in the URL HOT 1
- Presynaptic Synapse Variable undefined in Event Threshold Condition HOT 1
- Zero-copy of spike and spike-event recording
- Stop using system() to launch things
- Floating point exception when calling model.step
- StaticPulseDendriticDelay is not working with Toeplitz Convolution Kernel HOT 3
- Redirect log output from C++ to Python
- Unexpected behaviour with connectivity in PyGeNN
- GeNNModel constructor accepts any preference kwarg
- Can't add more than one synapse per presynaptic neuron HOT 1
- Cannot set state variables associated with SPARSE connectivity
- CUDA Backend Assertion Failure due to Thread Dimension Configuration HOT 4
- Support CUDA array protocol for interopability
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