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Due to the lack of paired samples and the low signal-to-noise ratio of functional MRI (fMRI) signals, reconstructing perceived natural images or decoding their semantic contents from fMRI data are challenging tasks.
Relations between the statistics of natural images and the response properties of cortical cells
David J Field · 1987
Earlier work this paper cites.
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James V Haxby, M Ida Gobbini, Maura L Furey, Alumit Ishai, Jennifer L Schouten, and Pietro Pietrini · 2001
Earlier work this paper cites.
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Yan Karklin and Michael S Lewicki · 2009
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Earlier work this paper cites.
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Earlier work this paper cites.
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, and Marcel AJ van Gerven · 2018
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Guohua Shen, Tomoyasu Horikawa, Kei Majima, and Yukiyasu Kamitani · 2019
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Yanchao Bi · 2021
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Thomas M Sutter, Imant Daunhawer, and Julia E Vogt · 2021
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Reconstructing natural scenes from fmri patterns using bigbigan
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Decoding visual neural representations by multimodal learning of brain-visual-linguistic features
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