| dataset_collection | ||
| network | ||
| settings | ||
| clean.sh | ||
| dataset.json | ||
| def.json | ||
| def_sbs_L0.json | ||
| get_perf.py | ||
| learn_it.py | ||
| LICENSE | ||
| make_new_previous.sh | ||
| network.json | ||
| network_sbs_L0.json | ||
| README.md | ||
pytorch-sbs
SbS Extension for PyTorch
Based on these scientific papers
Back-Propagation Learning in Deep Spike-By-Spike Networks
David Rotermund and Klaus R. Pawelzik
Front. Comput. Neurosci., https://doi.org/10.3389/fncom.2019.00055
https://www.frontiersin.org/articles/10.3389/fncom.2019.00055/full
Efficient Computation Based on Stochastic Spikes
Udo Ernst, David Rotermund, and Klaus Pawelzik
Neural Computation (2007) 19 (5): 1313–1343. https://doi.org/10.1162/neco.2007.19.5.1313
https://direct.mit.edu/neco/article-abstract/19/5/1313/7183/Efficient-Computation-Based-on-Stochastic-Spikes
Python
It was programmed with 3.10.4. And I used some 3.10 Python expression. Thus you might get problems with older Python versions.
C++
You need to modify the Makefile in the C++ directory to your Python installation.
In addition your Python installation needs the PyBind11 package installed. You might want to perform a
pip install pybind11
The Makefile uses clang as a compiler. If you want something else then you need to change the Makefile.
For CUDA I used version 12.0.