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In the past few years, significant advancements were made in reconstruction of observed natural images from fMRI brain recordings using deep-learning tools.
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K. Seeliger, U. Güçlü, L. Ambrogioni, Y. Güçlütürk, and M. A. van Gerven, “Generative adversarial networks for reconstructing natural images from brain activity,”
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G. Gaziv, R. Beliy, N. Granot, A. Hoogi, F. Strappini, T. Golan, and M. Irani, “Self-Supervised Natural Image Reconstruction and Rich Semantic Classification from Brain Activity,”
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Z. Ren, J. Li, X. Xue, X. Li, F. Yang, Z. Jiao, and X. Gao, “Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning,”
2021
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