We demonstrate the utility of the new 7T fMRI movie dataset made publicly available by the WashU-UMinn Human Connectome Project (HCP, www.humanconnectome.org) by reconstructing the movies participants watched, based on their fMRI brain activity and two general models of the human brain: a structural model and a semantic model. Although we were only marginally successful when using the structural model (most likely because participants were allowed to freely view the movie without a fixation task), we were able to successfully decode the semantic content of the held out movie data, with surprisingly high accuracy (r~0.8, and p<10^-10).
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