This applies different simulated radiation effects into incoming spiking neural networks (SNNs).
These effects of the radiation, and respective SNN performance, can be analysed using this parent repository. Together, these repos can be used to investigate the effectivity of various brain-adaptation mechanisms applied to these algorithms, in order to increase their [radiation] robustness. You can run it on various backends, as well as on a custom LIF-neuron simulator.
Different forms of radiation effects may be simulated using this software. This allows different chip-makers to analyse and improve the radiation robustness of their respective SNNs based on the radiation interaction with the chip. Each chip manufacturer is expected to derive their own radiation effects they anticipate, based on the respective orbit, hardware type and shielding materials. These effects can then be simulated on your own SNN of interest.
Feel free to send pull requests for compatibility with different:
- SNN algorithms
- hardware backends
- neural models
- synaptic models
- radiation effects
| Algorithm | Encoding | Adaptation | Radiation |
|---|---|---|---|
| Minimum Dominating Set Approximation | Sparse | Redundancy | Neuron Death |