Brain-Computer Interface (BCI)

April 30, 2025

Researchers at the University of California, San Francisco (UCSF) have developed a stable Brain-Computer Interface (BCI) that allows a paralysed person to control a robotic arm using only their thoughts, over 7 months, with minimal recalibration.

What is a Brain-Computer Interface (BCI)?

  • A Brain-Computer Interface (BCI) is a system that enables direct communication between the brain and an external device, such as a computer or robotic limb.
  • It decodes brain signals and translates them into commands to control machines, bypass damaged neural pathways, and restore lost functions in persons with neurological disorders.
  • Earlier BCI systems could only translate brain signals into text, and that too with limited vocabulary, slow processing speed, and reduced accuracy.

How Does It Work?

  • Sensor implantation: Electrodes were surgically placed on the motor cortex (brain region controlling movement).
  • Signal interpretation: The system decodes neural signals of imagined movement, using machine learning to predict changes over time in signal patterns.
  • Virtual training: The user was first trained using a virtual robotic arm, allowing refinement of mental control.
  • Real-world application: The participant performed complex tasks like picking up blocks, opening a cabinet, and holding a cup under a water dispenser, indicating precise, consistent control.

Broader Applications of BCI Technology

  • The BCI also has potential for restoring speech in individuals with conditions like brainstem stroke or Amyotrophic Lateral Sclerosis (ALS).
  • Fine electrodes and artificial neural networks can decode intended speech and generate text output, Audible speech, and a speaking avatar.

One study showed a patient with ALS communicating at 62 words per minute, 3.4 times faster than previous BCI systems.

Latest Current Affairs

See All

Enquire Now