# Spiking Neural Network Equalization for IM/DD Optical Communication

arXiv: https://arxiv.org/abs/2205.04263 · HTML: https://mlsanity.com/paper/2205.04263/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 May 2022.

## Built on by (most cited first, 3 of 3)

- [Spiking Neural Network Decision Feedback Equalization](https://mlsanity.com/paper/2211.04756/) (2022)
- [Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding](https://mlsanity.com/paper/2312.12909/) (2023)
- [Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation](https://mlsanity.com/paper/2408.02685/) (2024)

## Abstract (arXiv)

A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificial neural network, outperforming linear equalization.