Brain-Computer Interface (BCI)

Context

Researchers from the University of California, have evolved a new brain-computer interface that allows movement for people who are paralysed.

Brain-Computer Interface (BCI)

• A Brain-Computer Interface is an instantaneous communication pathway between the brain’s electrical activity and an external device.
• Typically, BCIs are used to help, augment, or restore human cognitive or sensory-motor functions. 
• In this case, the BCI information indicators from the brain’s motor cortex—the area responsible for movement—and decodes them using artificial intelligence to operate robotic limbs.

Types of BCIs

• Invasive BCI: The devices are surgically implanted into the brain to directly interact with the nervous system, permitting conversation and control between the brain and external devices.
  • It offers the most correct indicators; utilized in cases of paralysis or locked-in syndrome.
  • Example: Neuralink’s Blindsight
• Partially Invasive BCI: The devices are implanted within the skull but relaxation outside the brain, usually at the dura mater, a membrane surrounding the brain.
  • They are used to document electrical signals from the brain’s surface using strategies like electrocorticography (ECoG).
• Non-Invasive BCI: These are structures that permit users to engage with external devices (like computer systems or robots) using their brain, without the need for surgical procedure.
  • They commonly use outside sensors like EEG electrodes to discover brain signals, making them more secure and more accessible than invasive BCIs.

Applications of BCIs

• Medical and Rehabilitation: 

• • • Assistive Devices: Control of wheelchairs, robotic arms, or computer cursors by people with paralysis.
    • Neurorehabilitation: Post-stroke motor recovery by training brain pathways via BCIs.
    • Prosthetic Control: Artificial limbs operated via brain indicators.

• Education and Training:

• • • Attention Monitoring: In classrooms to track scholar engagement.
    • Skill Development: Feedback on focus or brain activity whilst learning complicated obligations.

• Industry and Automation:

• • BCI in Human-Robot Interaction: Enhancing collaborative robots in factories.
  • Hands-Free Control in Hazardous Work: For miners or chemical plant workers wherein hands are occupied.

Concerns Associated with BCIs

• Privacy: There is a significant hazard of misuse of neural information amassed by BCIs, as these systems can doubtlessly access sensitive thoughts, intentions, or feelings of individuals.
• Digital Divide: High fees and technological complexity of BCI systems could widen the virtual divide, leaving marginalized corporations without access to these life-changing developments.
• Mental Autonomy: There are concerns that extended use of BCIs would possibly alter brain function or lessen an individual’s sense of organization, raising questions about mental autonomy and identity.

Way Ahead

• To make certain that BCIs benefit the hundreds, specifically people with disabilities, it’s essential to broaden low-cost, scalable solutions. 
• Public-private partnerships and startups can help translate lab innovations into real-global packages.
• Further organising instructional applications and expert certifications will help construct a professional workforce in this emerging field.

Source: The Hindu

UPSC Mains Practice Question

Q. What are the areas of prohibitive labour that can be sustainably managed by robots? Discuss the initiatives that can propel the research in premier research institutes for substantive and gainful innovation. (2015)

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