Spiking Neural Network Simulator Backends
This is a library of Spiking Neural Network (SNN) backends. They take an networkx graph, that specifies an SNN, as input, and then simulate the network on the chosen backend.
Parent Repository
These algorithms 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.
Algorithms
Here is a list of supported neuromorphic backends:
| Algorithm | Encoding | Adaptation | Radiation |
|---|---|---|---|
| Minimum Dominating Set Approximation | Sparse | Redundancy | Neuron Death |