IBM/exact-mapping-ReLUnetwork-SNN: An Exact Mapping From ReLU Networks to Spiking Neural Networks
This repository contains code material for the publication: Stanojevic, A., Woźniak, S., Bellec, G., Cherubini, G., Pantazi, A., & Gerstner, W. (2022). An Exact Mapping From ReLU Networks to Spiking Neural Networks. arXiv preprint arXiv:2212.12522. https://arxiv.org/abs/2212.12522 Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. An exact mapping enables to convert a pretrained high-performance network with Rectified Linear Units (ReLUs) to an energy-efficien
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Resource information
- DOI
- 10.5281/zenodo.8304830
- Credit basis
- Creators in DataCite DOI metadata
- Publisher
- Zenodo
- Upstream last modified
- Aug 31, 2023
- Access
- Files remain with the original publisher
- Last checked
- Nov 4, 2026
- License
- Open Access
- Last record update
- Nov 4, 2026
About this resource
This repository contains code material for the publication: Stanojevic, A., Woźniak, S., Bellec, G., Cherubini, G., Pantazi, A., & Gerstner, W. (2022). An Exact Mapping From ReLU Networks to Spiking Neural Networks. arXiv preprint arXiv:2212.12522. https://arxiv.org/abs/2212.12522 Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. An exact mapping enables to convert a pretrained high-performance network with Rectified Linear Units (ReLUs) to an energy-efficient SNN with zero percent drop in accuracy. The exact mapping is coded in Python and Tensorflow.