# Sleep Deprivation in the Forward-Forward Algorithm

arXiv: https://arxiv.org/abs/2310.18647 · HTML: https://mlsanity.com/paper/2310.18647/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 9 references that are in the map.
- First posted on arXiv 28 Oct 2023.

## Builds on (most cited first, 3 of 3)

- [Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms](https://mlsanity.com/paper/1708.07747/) (2017)
- [The Forward-Forward Algorithm: Some Preliminary Investigations](https://mlsanity.com/paper/2212.13345/) (2022)
- [Predictive Coding: a Theoretical and Experimental Review](https://mlsanity.com/paper/2107.12979/) (2021)

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

- [Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithm](https://mlsanity.com/paper/2609.06042/) (2026)

## Abstract (arXiv)

This paper aims to explore the separation of the two forward passes in the Forward-Forward algorithm from a biological perspective in the context of sleep. We show the size of the gap between the sleep and awake phase influences the learning capabilities of the algorithm and highlight the importance of negative data in diminishing the devastating effects of sleep deprivation.