# A Survey of Spiking Neural Network Accelerator on FPGA

arXiv: https://arxiv.org/abs/2307.03910 · HTML: https://mlsanity.com/paper/2307.03910/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jul 2023.

## Built on by (most cited first, 7 of 7)

- [SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA](https://mlsanity.com/paper/2404.03714/) (2024)
- [NEUROSEC: FPGA-Based Neuromorphic Audio Security](https://mlsanity.com/paper/2401.12055/) (2024)
- [Battery State of Health Estimation Using LLM Framework](https://mlsanity.com/paper/2501.18123/) (2025)
- [Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons](https://mlsanity.com/paper/2506.13268/) (2025)
- [Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons](https://mlsanity.com/paper/2411.01628/) (2024)
- [Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units](https://mlsanity.com/paper/2403.11563/) (2024)
- [HPCNeuroNet: A Neuromorphic Approach Merging SNN Temporal Dynamics with Transformer Attention for FPGA-based Particle Physics](https://mlsanity.com/paper/2412.17571/) (2024)

## Abstract (arXiv)

Due to the ability to implement customized topology, FPGA is increasingly used to deploy SNNs in both embedded and high-performance applications. In this paper, we survey state-of-the-art SNN implementations and their applications on FPGA. We collect the recent widely-used spiking neuron models, network structures, and signal encoding formats, followed by the enumeration of related hardware design schemes for FPGA-based SNN implementations. Compared with the previous surveys, this manuscript enumerates the application instances that applied the above-mentioned technical schemes in recent research. Based on that, we discuss the actual acceleration potential of implementing SNN on FPGA. According to our above discussion, the upcoming trends are discussed in this paper and give a guideline for further advancement in related subjects.