Reconstructing natural images from human fMRI by alternating encoding and decoding with shared autoencoder regularization

•We proposed the mutual promotion of visual encoding and reconstruction models.•We designed alternating optimization bassed on seim-supervised learning.•We devised inter-sample differentiated representations to augment small dataset.•Our proposed model achieved state-of-the-art reconstruction perfor...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 73; p. 103397
Main Authors:	Qiao, Kai, Chen, Jian, Wang, Linyuan, Zhang, Chi, Tong, Li, Yan, Bin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2022
Subjects:	Alternating optimization fMRI Shared autoencoder Visual encoding Visual reconstruction fMRI Visual encoding Shared autoencoder Alternating optimization Visual reconstruction
ISSN:	1746-8094, 1746-8108
Online Access:	Get full text
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