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Visual Image Reconstruction from Human Brain

The left clip is a segment of the movie that the subject viewed while in the magnet. The right clip shows the reconstruction of this movie from brain activity measured using fMRI. The reconstruction was obtained using only each subject’s brain activity and a library of 18 million seconds of random YouTube video. (In brief, the algorithm processes each of the 18 million clips through a model of each individual brain, and identifies the clips that would likely have produced brain activity as similar to the measured brain activity as possible. The clips used to fit the model, those used to test the model and those used to reconstruct the stimulus were entirely separate.) Brain activity was sampled every one second, and each one-second section of the viewed movie was reconstructed separately.

About Mohammad

Dr Mohammad Khazab completed his Ph.D. in Computer Systems Engineering (Artificial Intelligence) at the University of South Australia in 2011. He has worked as Senior Software Engineer, Web Developer, and Research Associate on various projects. Currently he works at Schneider Electric on the design and development of new software solutions for smart devices used for home automation and Internet of Things. He's also been working on enterprise software for supply chain network simulation and optimisation, advanced planning and scheduling. In his spare times, In his spare times, he works on creating websites and mobile applications (Web2day Design), researching and writing about cutting-edge technologies in this blog. He has ambitions to solve real-world problems, and to use his knowledge and skills to develop useful applications.

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