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Deep learning is leading to major advances in the realm of brain decoding from functional Magnetic Resonance Imaging (fMRI).
Through a Dog’s Eyes: fMRI Decoding of Naturalistic Videos from the Dog Cortex
Erin M. Phillips, Kirsten D. Gillette, Daniel D. Dilks, and Gregory S. Berns · 1940
Earlier work this paper cites.
Deconvolution of impulse response in event-related BOLD fMRI
G. H. Glover · 1998
Earlier work this paper cites.
Learning to decode cognitive states from brain images
Tom M Mitchell, Rebecca Hutchinson, Radu S Niculescu, Francisco Pereira, Xuerui Wang, Marcel Just, and Sharlene Newman · 2004
Earlier work this paper cites.
Decoding mental states from brain activity in humans
John-Dylan Haynes and Geraint Rees · 2006
Earlier work this paper cites.
Modeling Shared Responses in Neuroimaging Studies through MultiView ICA, December 2020
Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, and Pierre Ablin · 2006
Earlier work this paper cites.
Decoding reveals the contents of visual working memory in early visual areas
Stephenie A Harrison and Frank Tong · 2009
Earlier work this paper cites.
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Séjourné, François-Xavier Vialard, and Gabriel Peyré · 2009
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A common, high-dimensional model of the representational space in human ventral temporal cortex
James V. Haxby, J. Swaroop Guntupalli, Andrew C. Connolly, Yaroslav O. Halchenko, Bryan R. Conroy, M. Ida Gobbini, Michael Hanke, and Peter J. Ramadge · 2011
Earlier work this paper cites.
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
Earlier work this paper cites.
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay · 2011
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FreeSurfer
Bruce Fischl · 2012
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Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi · 2013
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The minimal preprocessing pipelines for the Human Connectome Project
Matthew F. Glasser, Stamatios N. Sotiropoulos, J. Anthony Wilson, Timothy S. Coalson, Bruce Fischl, Jesper L. Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R. Polimeni, David C. Van Essen, Mark Jenkinson, and WU-Minn HCP Consortium · 2013
Earlier work this paper cites.
Machine learning for neuroimaging with scikit-learn
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, and Gael Varoquaux · 2014
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MSM: a new flexible framework for Multimodal Surface Matching
Emma C. Robinson, Saad Jbabdi, Matthew F. Glasser, Jesper Andersson, Gregory C. Burgess, Michael P. Harms, Stephen M. Smith, David C. Van Essen, and Mark Jenkinson · 2014
Earlier work this paper cites.
A Reduced-Dimension fMRI Shared Response Model
Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, and Peter J Ramadge · 2015
Cited alongside, same era.
A multi-modal parcellation of human cerebral cortex
Matthew F. Glasser, Timothy S. Coalson, Emma C. Robinson, Carl D. Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, Jesper Andersson, Christian F. Beckmann, Mark Jenkinson, Stephen M. Smith, and David C. Van Essen · 2016
Cited alongside, same era.
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests, September 2017
Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, and Zhongming Liu · 2017
Cited alongside, same era.
Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping
Ana Luísa Pinho, Alexis Amadon, Torsten Ruest, Murielle Fabre, Elvis Dohmatob, Isabelle Denghien, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Laurence Laurier, Véronique Joly-Testault, Gaëlle Médiouni-Cloarec, Christine Doublé, Bernadette Martins, Philippe Pinel, Evelyn Eger, Gaël Varoquaux, Christophe Pallier, Stanislas Dehaene, Lucie Hertz-Pannier, and Bertrand Thirion · 2018
Cited alongside, same era.
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin Thomas, Christopher Ré, and Russell Poldrack · 2022
Later among the works it cites.
Aligning individual brains with fused unbalanced Gromov Wasserstein
Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, and Bertrand Thirion · 2022
Later among the works it cites.
Reconstructing rapid natural vision with fMRI-conditional video generative adversarial network
Chong Wang, Hongmei Yan, Wei Huang, Jiyi Li, Yuting Wang, Yun-Shuang Fan, Wei Sheng, Tao Liu, Rong Li, and Huafu Chen · 2022
Later among the works it cites.
Brain decoding: toward real-time reconstruction of visual perception
Yohann Benchetrit, Hubert Banville, and Jean-Rémi King · 2023
Closest in time.
Brain Captioning: Decoding human brain activity into images and text, May 2023
Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, and Nicola Toschi · 2023
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Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, and Zhongming Liu · 2018
Cited alongside, same era.
Local Optimal Transport for Functional Brain Template Estimation
T. Bazeille, H. Richard, H. Janati, and B. Thirion · 2019
Cited alongside, same era.
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, J. Benjamin Hutchinson, Thomas Naselaris, and Kendrick Kay · 2021
Cited alongside, same era.
An empirical evaluation of functional alignment using inter-subject decoding
Thomas Bazeille, Elizabeth DuPre, Hugo Richard, Jean-Baptiste Poline, and Bertrand Thirion · 2021
Cited alongside, same era.
Learning Transferable Visual Models From Natural Language Supervision, February 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
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, J. Benjamin Hutchinson, Thomas Naselaris, and Kendrick Kay · 2022
Cited alongside, same era.
Decoding speech from non-invasive brain recordings, August 2022
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, and Jean-Rémi King · 2022
Cited alongside, same era.
The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains, May 2022
Ma Feilong, Samuel A. Nastase, Guo Jiahui, Yaroslav O. Halchenko, M. Ida Gobbini, and James V. Haxby · 2022
Cited alongside, same era.
Closest in time.
Decoding natural image stimuli from fMRI data with a surface-based convolutional network, March 2023
Zijin Gu, Keith Jamison, Amy Kuceyeski, and Mert Sabuncu · 2023
Closest in time.
Inter-individual deep image reconstruction via hierarchical neural code conversion
Jun Kai Ho, Tomoyasu Horikawa, Kei Majima, Fan Cheng, and Yukiyasu Kamitani · 2023
Closest in time.
BOLD Moments: modeling short visual events through a video fMRI dataset and metadata, March 2023
Benjamin Lahner, Kshitij Dwivedi, Polina Iamshchinina, Monika Graumann, Alex Lascelles, Gemma Roig, Alessandro Thomas Gifford, Bowen Pan, SouYoung Jin, N. Apurva Ratan Murty, Kendrick Kay, Aude Oliva, and Radoslaw Cichy · 2023
Closest in time.
Weijian Mai and Zhijun Zhang · 2023
Closest in time.
Natural scene reconstruction from fMRI signals using generative latent diffusion, June 2023
Furkan Ozcelik and Rufin VanRullen · 2023
Closest in time.
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, and Tanishq Mathew Abraham · 2023
Closest in time.
Semantic reconstruction of continuous language from non-invasive brain recordings
Jerry Tang, Amanda LeBel, Shailee Jain, and Alexander G. Huth · 2023
Closest in time.
Generic decoding of seen and imagined objects using hierarchical visual features
Tomoyasu Horikawa and Yukiyasu Kamitani · 2041
Closest in time.
Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
James V Haxby, J Swaroop Guntupalli, Samuel A Nastase, and Ma Feilong · 2050
Closest in time.
A natural language fMRI dataset for voxelwise encoding models
Amanda LeBel, Lauren Wagner, Shailee Jain, Aneesh Adhikari-Desai, Bhavin Gupta, Allyson Morgenthal, Jerry Tang, Lixiang Xu, and Alexander G. Huth · 2052
Closest in time.