# Associative Memory Model with Neural Networks: Memorizing multiple images with one neuron

arXiv: https://arxiv.org/abs/2510.06542 · HTML: https://mlsanity.com/paper/2510.06542/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Oct 2025.

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

- [Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations](https://mlsanity.com/paper/2604.04743/) (2026)

## Abstract (arXiv)

This paper presents a neural network model (associative memory model) for memory and recall of images. In this model, only a single neuron can memorize multi-images and when that neuron is activated, it is possible to recall all the memorized images at the same time. The system is composed of a single cluster of numerous neurons, referred to as the "Cue Ball," and multiple neural network layers, collectively called the "Recall Net." One of the features of this model is that several different images are stored simultaneously in one neuron, and by presenting one of the images stored in that neuron, all stored images are recalled. Furthermore, this model allows for complete recall of an image even when an incomplete image is presented