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hello and welcome to this video summary of our work from voxels to pixels and back self supervision in natural image reconstruction from fMRI to be published at nori peace 2019 iamp;#39;m gigas eve beach the candidate from the Mahalo Roni lab at the Weizmann Institute of Science and Iamp;#39;m going to walk you through the main contributions and results from this paper in this work we demonstrate highly accurate reconstruction of images observed by a subject using nothing but his recorded brain activity captured via fMRI we achieved this for two very different fMRI data set using a novel self supervised method the available data for the task consists of about a thousand pairs of images and their corresponding fMRI scans traditionally this paired or labeled data is used to learn the mapping between the visual stimuli and their brain activity representation however since the data is limited and cannot spend the huge space of natural images and natural fMRI samples such decoders are pro
