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Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

This is the code related to the paper titled "Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation" published in ICLR, 2020

Training Methodology

The training is performed in the following two steps:

Files

Trained ANN models

Trained SNN models

Issues

Citation

If you use this code in your work, please cite the following paper

@inproceedings{
Rathi2020Enabling,
title={Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation},
author={Nitin Rathi and Gopalakrishnan Srinivasan and Priyadarshini Panda and Kaushik Roy},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=B1xSperKvH}
}