Researchers from Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person's brain activity as actual images mimicking what they observe in real time. This will enable new post-stroke rehabilitation devices controlled by brain signals. The team published its research as a preprint on bioRxiv and posted a video online, showing their "mind-reading" system at work. To develop devices controlled by the brain and methods for cognitive disorder treatment and post-stroke rehabilitation, neurobiologists need to understand how the brain encodes information. A key aspect of this is studying the brain activity of people perceiving visual information, for example, while watching a video.

Ian Burkhart prepares for a training session in Columbus, Ohio. To move muscles in Burkhart's hand, the system relies on electrodes implanted in his brain, a computer interface attached to his skull, and electrical stimulators wrapped around his forearm. Ian Burkhart prepares for a training session in Columbus, Ohio. To move muscles in Burkhart's hand, the system relies on electrodes implanted in his brain, a computer interface attached to his skull, and electrical stimulators wrapped around his forearm. Ian Burkhart, now 24, was paralyzed in 2010 after diving into a wave in shallow water.