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...

Celý popis

Podrobná bibliografia

Vydané v:	Biomedical signal processing and control Ročník 73; s. 103397
Hlavní autori:	Qiao, Kai, Chen, Jian, Wang, Linyuan, Zhang, Chi, Tong, Li, Yan, Bin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2022
Predmet:	Alternating optimization fMRI Shared autoencoder Visual encoding Visual reconstruction fMRI Visual encoding Shared autoencoder Alternating optimization Visual reconstruction
ISSN:	1746-8094, 1746-8108
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!