Japanese Journal of Physiological Psychology and Psychophysiology
Online ISSN : 2185-551X
Print ISSN : 0289-2405
ISSN-L : 0289-2405

This article has now been updated. Please use the final version.

Synthesizing brain images using deep learning
Masahiro TAKAMURA
Author information
JOURNAL FREE ACCESS Advance online publication

Article ID: 2410si

Details
Abstract

The performance of image-generation artificial intelligence using deep neural networks has significantly improved. This article presents an overview of the technology driving these advancements and explores its potential applications in brain research. The article also discusses how state-of-the-art generative models can create realistic brain images as data, highlighting their potential for future research.

Content from these authors
© 2024 Japanese Society for Physiological Psychology and Psychophysiology
feedback
Top