A brain-computer interface (BCI) is a system that translates brain activity into commands for external devices, offering a direct communication pathway between the brain and the external world. BCIs bypass the body's usual neuromuscular pathways, making them particularly useful for individuals with disabilities. Research on BCIs began in the 1970s.
BCIs work by measuring brain activity using sensors, typically in the form of a headset, cap, or implanted electrodes. The recorded brain activity is then processed and analyzed by computer software that interprets the user's intended actions. This decoded intent is translated into commands that control external devices like computer cursors, robotic limbs, or communication devices. BCI implementations range from non-invasive methods like electroencephalography (EEG) to partially invasive (electrocorticography or ECoG) and invasive methods involving microelectrode arrays. While invasive BCIs offer higher signal resolution, they also carry risks such as infection and tissue damage. Recent advancements focus on wearable, non-invasive BCI systems for broader applications.
BCIs are being explored for various applications, including restoring motor control, enabling communication for paralyzed individuals, and even enhancing gaming and virtual reality experiences. Ethical considerations surrounding BCIs include concerns about privacy, data security, potential misuse of neural data, and the impact on personal autonomy. Regulatory oversight is strong for medical BCIs but remains unclear for consumer applications. Recent breakthroughs include the development of non-invasive methods for recording neural brain activity with high resolution.
