Neurotechnology is advancing rapidly, opening up new possibilities for human interaction with digital environments. In a recent experiment in China, a brain-computer interface (BCI) was tested, allowing a subject to play video games using only their thoughts.

The test involved an implanted BCI system in a 19-year-old participant. The system works by reading signals from the brain, analyzing the intent behind movements, and translating them into actions within applications. To optimize performance, machine learning techniques were employed. These signals interacted with software through a specialized operating system called XessOS.

After 19.87 hours of training using classical paradigms such as Center-out and WebGrid, the subject achieved precise control over cursor movements in real-time. This enabled gameplay in classic titles like Pac-Man and Tank Battle , as well as more complex modern games like Honor of Kings and Black Myth: Wukong.

The research team utilized a 256-channel flexible BCI to collect local field potential (LFP) signals from the brain. These signals were mapped to on-screen cursor trajectories, creating a visual feedback loop that allowed for accurate control of external devices via XessOS.

XessOS operates on a high-performance algorithm capable of decoding EEG (electroencephalography) movement signals in real time. Its modular architecture supports plug-in extensions, making it adaptable for various applications.

This breakthrough demonstrates how BCIs can transform gaming and other fields by enabling direct thought-based interaction with technology. As these systems continue to evolve, they hold immense potential not only for entertainment but also for improving accessibility and enhancing human capabilities.

Main image: x.com

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