Brain-Computer Interfaces

Brain-Computer Interfaces (BCIs), also known as brain-machine interfaces (BMIs), are direct communication pathways between the wired circuitry of an outside device and the living tissue of the brain. They enable bidirectional data transfer, allowing for control of external devices via neural signals and potential modulation of brain activity.

Core Components & Mechanisms

  • Signal Acquisition: Recording neural activity via electrodes (intracortical, epidural, or non-invasive EEG/fNIRS).
  • Signal Processing: Decoding algorithms translate neural spikes or field potentials into digital commands.
  • Actuation/Feedback: Output devices execute commands (e.g., robotic limbs, cursors) or provide sensory feedback to the user.

Key Developments & Entities

Applications

  • Restorative: Restoring motor function, communication (speech synthesis), and sensory perception for individuals with paralysis or neurodegenerative diseases.
  • Augmentative: Enhancing cognitive capabilities or enabling direct control of digital environments.
  • Diagnostic: Monitoring brain states for epilepsy prediction or coma assessment.

Challenges & Ethics

References