# Gradient-based methods for spiking physical systems

arXiv: https://arxiv.org/abs/2309.10823 · HTML: https://mlsanity.com/paper/2309.10823/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Aug 2023.

## Built on by (most cited first, 1 of 1)

- [DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware](https://mlsanity.com/paper/2404.19165/) (2024)

## Abstract (arXiv)

Recent efforts have fostered significant progress towards deep learning in spiking networks, both theoretical and in silico. Here, we discuss several different approaches, including a tentative comparison of the results on BrainScaleS-2, and hint towards future such comparative studies.