Brain-Computer Interface (BCI)

Current Context: Researchers at the University of California, San Francisco (UCSF) have developed a stable BCI that enabled a paralyzed man to control a robotic arm using only his thoughts for seven months without recalibration.

About Brain-Computer Interface (BCI):

• A system enabling direct communication between the brain and external devices, translating neural signals into commands to control machines.
• Functionality: Decodes brain signals to restore functions in individuals with neurological disorders.

How It Works:

• Sensor Implantation: Electrodes are surgically placed on the motor cortex to detect neural signals.
• Signal Interpretation: Machine learning algorithms decode imagined movements, adapting to changes in brain activity over time.
• Virtual Training: Users train with virtual interfaces to refine control before real-world application.
• Real-World Application: Users can perform tasks like grasping objects, indicating precise and consistent control.