Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by
Unsupervised Learning
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by
Unsupervised Learning
The reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system. Despite the significant strides made by deep learning methods in improving the quality and interpretability of visual reconstruction, there remains a substantial …