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Abstract #5369

Encoding and decoding semantic information of natural movies from 7T human brain activity provided by the Human Connectome Project

Nehemia Mekete1 and An Thanh Vu2

1UC Berkeley, Berkeley, CA, United States, 2Center for Imaging of Neurodegenerative Diseases, Veteran Affairs Health Care System, San Francisco, CA, United States

We demonstrate the utility of the new 7T fMRI movie dataset made publicly available by the WashU-UMinn Human Connectome Project (HCP, 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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