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Due to the low signal-to-noise ratio and limited resolution of functional MRI data, and the high complexity of natural images, reconstructing a visual stimulus from human brain fMRI measurements is a challenging task.
Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex
Rafael Malach, JB Reppas, RR Benson, KK Kwong, H Jiang, WA Kennedy, PJ Ledden, TJ Brady, BR Rosen, and RB Tootell · 1995
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The fusiform face area: a module in human extrastriate cortex specialized for face perception
Nancy Kanwisher, Josh McDermott, and Marvin M Chun · 1997
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A cortical representation of the local visual environment
Russell Epstein and Nancy Kanwisher · 1998
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Completely derandomized self-adaptation in evolution strategies
Nikolaus Hansen and Andreas Ostermeier · 2001
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Neuronal correlates of perception in early visual cortex
David Ress and David J Heeger · 2003
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Contrast adaptation and representation in human early visual cortex
Justin L Gardner, Pei Sun, R Allen Waggoner, Kenichi Ueno, Keiji Tanaka, and Kang Cheng · 2005
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Visual image reconstruction from human brain activity using a combination of multiscale local image decoders
Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C Tanabe, Norihiro Sadato, and Yukiyasu Kamitani · 2008
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Bayesian reconstruction of natural images from human brain activity
Thomas Naselaris, Ryan J Prenger, Kendrick N Kay, Michael Oliver, and Jack L Gallant · 2009
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Reconstructing visual experiences from brain activity evoked by natural movies
Shinji Nishimoto, An T Vu, Thomas Naselaris, Yuval Benjamini, Bin Yu, and Jack L Gallant · 2011
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Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases
David C Van Essen, Matthew F Glasser, Donna L Dierker, John Harwell, and Timothy Coalson · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Sharing deep generative representation for perceived image reconstruction from human brain activity
Changde Du, Changying Du, and Huiguang He · 2017
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Generative adversarial networks for reconstructing natural images from brain activity
Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, and Marcel AJ van Gerven · 2018
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Generative adversarial networks conditioned on brain activity reconstruct seen images
Ghislain St-Yves and Thomas Naselaris · 2018
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Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
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Reconstructing perceptive images from brain activity by shape-semantic gan
Tao Fang, Yu Qi, and Gang Pan · 2020
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Integrative benchmarking to advance neurally mechanistic models of human intelligence
Martin Schrimpf, Jonas Kubilius, Michael J Lee, N Apurva Ratan Murty, Robert Ajemian, and James J DiCarlo · 2020
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A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence
Emily J Allen, Ghislain St-Yves, Yihan Wu, Jesse L Breedlove, Jacob S Prince, Logan T Dowdle, Matthias Nau, Brad Caron, Franco Pestilli, Ian Charest, et al · 2021
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Instance-conditioned gan
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, and Adriana Romero Soriano · 2021
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From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, and Michal Irani · 2019
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Spherical cnns on unstructured grids
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Dcnn-gan: Reconstructing realistic image from fmri
Yunfeng Lin, Jiangbei Li, and Hanjing Wang · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
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Reconstructing faces from fmri patterns using deep generative neural networks
Rufin VanRullen and Leila Reddy · 2019
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End-to-end deep image reconstruction from human brain activity
Guohua Shen, Kshitij Dwivedi, Kei Majima, Tomoyasu Horikawa, and Yukiyasu Kamitani
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Deep image reconstruction from human brain activity
Guohua Shen, Tomoyasu Horikawa, Kei Majima, and Yukiyasu Kamitani
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Unsupervised neural network models of the ventral visual stream
Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C Frank, James J DiCarlo, and Daniel LK Yamins · 2021
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Neurogen: activation optimized image synthesis for discovery neuroscience
Zijin Gu, Keith Wakefield Jamison, Meenakshi Khosla, Emily J Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick Kay, Mert R Sabuncu, and Amy Kuceyeski · 2022
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A self-supervised domain-general learning framework for human ventral stream representation
Talia Konkle and George A Alvarez · 2022
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Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network
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