[65] Jerry Tang, Amanda LeBel, Shailee Jain, and Alexander G. Huth. Semantic reconstruction of continuous language from non-invasive brain recordings. Nature Neuroscience, pages 1-9, May 2023. ISSN 1546-1726. doi: 10.1038/s41593-023-01304-9. URL https://www.nature.com/articles/s41593-023-01304-9. Publisher: Nature Publishing Group.
[66] Anne C Mennen, Kenneth A Norman, and Nicholas B Turk-Browne. Attentional bias in depression: understanding mechanisms to improve training and treatment. Current Opinion in Psychology, 29: 266-273, October 2019. ISSN 2352-250X. doi: 10.1016/j.copsyc.2019.07.036. URL https://www.sciencedirect.com/science/article/pii/S2352250X19300016.
[67] Martin M. Monti, Audrey Vanhaudenhuyse, Martin R. Coleman, Melanie Boly, John D. Pickard, Luaba Tshibanda, Adrian M. Owen, and Steven Laureys. Willful Modulation of Brain Activity in Disorders of Consciousness. New England Journal of Medicine, 362(7):579-589, February 2010. ISSN 0028-4793. doi: 10.1056/NEJMoa0905370. URL https://doi.org/10.1056/NEJMoa0905370. Publisher: Massachusetts Medical Society _eprint: https://doi.org/10.1056/NEJMoa0905370.
[68] Grant Wallace, Stephen Polcyn, Paula P. Brooks, Anne C. Mennen, Ke Zhao, Paul S. Scotti, Sebastian Michelmann, Kai Li, Nicholas B. Turk-Browne, Jonathan D. Cohen, and Kenneth A. Norman. RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage, 257:119295, August 2022. ISSN 10538119. doi: 10.1016/j.neuroimage.2022.119295. URL https://linkinghub.elsevier.com/retrieve/pii/S1053811922004141.
[69] Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, and Peter J Ramadge. A Reduced-Dimension fMRI Shared Response Model. In Advances in Neural Information Processing Systems, volume 28. Curran Associates, Inc., 2015. URL https://papers.nips.cc/paper_files/paper/2015/bitstream/b3967a0e938dc2a6340e258630febd5a-Abstract.html.
[70] James V. Haxby, J. Swaroop Guntupalli, Andrew C. Connolly, Yaroslav O. Halchenko, Bryan R. Conroy, M. Ida Gobbini, Michael Hanke, and Peter J. Ramadge. A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex. Neuron, 72(2):404-416, October 2011. ISSN 08966273. doi: 10.1016/j.neuron.2011.08.026. URL https://linkinghub.elsevier.com/ retrieve/pii/S0896627311007811.
[71] Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. International Journal of Computer Vision, 128(2):336-359, February 2020. ISSN 0920-5691, 1573-1405. doi: 10.1007/s11263-019-01228-7. URL http://arxiv.org/abs/1610.02391. arXiv:1610.02391 [cs].
[72] David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, and Antonio Torralba. Network Dissection: Quantifying Interpretability of Deep Visual Representations, April 2017. URL http://arxiv.org/abs/1704.05796. arXiv:1704.05796 [cs].
[73] Axel Sauer, Katja Schwarz, and Andreas Geiger. StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets, May 2022. URL http://arxiv.org/abs/2202.00273. arXiv:2202.00273 [cs].
[74] Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, and Yonghui Wu. Vector-quantized Image Modeling with Improved VQGAN, June 2022. URL http://arxiv.org/abs/2110.04627. arXiv:2110.04627 [cs].
[75] Jacob S Prince, Ian Charest, Jan W Kurzawski, John A Pyles, Michael J Tarr, and Kendrick N Kay. Improving the accuracy of single-trial fMRI response estimates using GLMsingle. eLife, 11:e77599, November 2022. ISSN 2050-084X. doi: 10.7554/eLife.77599. URL https://doi.org/10.7554/eLife.77599. Publisher: eLife Sciences Publications, Ltd.
[76] Hang Zhao, Orazio Gallo, Iuri Frosio, and Jan Kautz. Loss functions for image restoration with neural networks. IEEE Transactions on Computational Imaging, 3:47-57, 2017.
[77] Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee. Enhanced deep residual networks for single image super-resolution. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 1132-1140, 2017.
[78] Kevin Turner. Decoding latents to rgb without upscaling. https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/2, 2022. Accessed: 2023-05-23.
[79] Adrien Bardes, Jean Ponce, and Yann LeCun. Vicregl: Self-supervised learning of local visual features. ArXiv, abs/2210.01571, 2022.
[80] Adrien Bardes, Jean Ponce, and Yann LeCun. Vicreg: Variance-invariance-covariance regularization for self-supervised learning. ArXiv, abs/2105.04906, 2021.