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

翻译：本文提出了一种用于图像记忆与回忆的神经网络模型（联想记忆模型）。在该模型中，仅需单个神经元即可记忆多幅图像，当该神经元被激活时，能够同时回忆所有已记忆的图像。该系统由一个包含大量神经元的集群（称为"提示球"）与多个神经网络层（统称为"回忆网"）构成。该模型的特点之一是多个不同的图像可同时存储于单个神经元中，并通过呈现该神经元中存储的任一图像，即可触发所有存储图像的回忆。此外，该模型即使在呈现不完整图像的情况下，也能实现图像的完整回忆。