Researchers at UC Berkeley used functional magnetic resonance imaging (fMRI) and some seriously complex computational models to figure out what images our minds create when presented with clips from movies and TV shows. In the video above, the left clip is a segment of the movie that the subject viewed while in the imager. The right clip shows the reconstruction of this movie from brain activity measured using fMRI. Some areas of the brain process the simple structural features of a scene, such as the edge orientation, local motion and texture. Others process complex semantic features, such as faces, animals and places. The reconstruction was obtained using only each subject's brain activity and a library of 18 million seconds of random YouTube video that did not include the movies used as stimuli. Brain activity was sampled every one second, and each 1-second section of the viewed movie was reconstructed separately.