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How Can We Reconstruct Mental Imagery from Brain Activities? Naoko Koide-Majima 1,2 , Shinji Nishimoto 1,2,3 , Kei Majima 4 1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology 2Graduate School of Frontier Biosciences, Osaka University 3Graduate School of Medicine, Osaka University 4Institute for Quantum Life Science, National Institutes for Quantum Science and Technology Keyword: 機能的MRI , 脳情報解読 , メンタルイメージ , 画像復元 , AI , 機械学習 , fMRI , decoding , mental imagery , image reconstruction , machine learning pp.1256-1261
Published Date 2024/11/1
DOI https://doi.org/10.11477/mf.1416202768
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Abstract

Advances in machine learning and artificial intelligence (AI) have enabled the extraction of information such as perception and motor intention from neural activities, which is called neural decoding. A recent study demonstrated that mental imagery can be reconstructed from brain activity measured using functional magnetic resonance imaging. This article describes the method of mental image reconstruction and the underlying technologies that support it.


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電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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