# Forgetting Memories and their Attractiveness

arXiv: https://arxiv.org/abs/1805.12368 · HTML: https://mlsanity.com/paper/1805.12368/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 May 2018.

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

- [Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting](https://mlsanity.com/paper/2308.01421/) (2023)

## Abstract (arXiv)

We study numerically the memory which forgets, introduced in 1986 by Parisi by bounding the synaptic strength, with a mechanism which avoid confusion, allows to remember the pattern learned more recently and has a physiologically very well defined meaning. We analyze a number of features of the learning at finite number of neurons and finite number of patterns. We discuss how the system behaves in the large but finite N limit. We analyze the basin of attraction of the patterns that have been learned, and we show that it is exponentially small in the age of the pattern. This is a clearly non physiological feature of the model.