Year: 2025
Type: preprint
Abstract: 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
Source: arXiv (Cornell University)
Author: Inazawa, Hiroshi
Institution: Kobe Shoin Women's University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4415315668
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