Code for training end-to-end neuromorphic systems, as presented in
N. Skatchkovsky, H. Jang, and O. Simeone, End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence, to be presented at Asilomar 2020 https://arxiv.org/abs/2009.01527
To run, this code requires to install our snn package, which can be found at https://github.com/kclip/snn
This repo will not be maintained actively, the latest working version of the snn package is commit 6ba3465
An experiment can be run on the MNIST-DVS dataset by launching
python snn/launch_experiment.py
Make sure to first download and preprocess the MNIST-DVS dataset using the script in snn/data_preprocessing/process_mnistdvs.py and change your home directory in snn/launch_experiment.py.