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Semantics of Brain-Machine Hybrids.

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  • 1Graduate School of Pharmaceutical Sciences, The University of Tokyo.

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This summary is machine-generated.

Brain-machine interfaces (BMIs) create direct brain-device links, restoring function and enhancing human capabilities. This technology is rapidly evolving for therapeutic, artistic, and augmentation purposes, potentially guiding human evolution.

Keywords:
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Area of Science:

  • Neuroscience and Technology
  • Brain-Machine Interfaces (BMIs)
  • Human Augmentation

Background:

  • BMIs enable direct communication between the brain and external devices.
  • Historical evolution includes electroencephalography and neural population decoding.
  • Recent advances focus on real-time control of robotics and sensory reconstruction.

Purpose of the Study:

  • To review the historical evolution and current applications of BMIs.
  • To explore clinical breakthroughs and therapeutic potential.
  • To examine non-therapeutic applications and future implications for human augmentation.

Main Methods:

  • Review of historical discoveries in neuroscience and BMI technology.
  • Analysis of clinical applications and technological advancements.
  • Exploration of emerging trends in neuroart, neurogames, and human augmentation.

Main Results:

  • BMIs have achieved success in restoring motor function and communication for paralyzed individuals.
  • Applications include sensory feedback for prosthetics and neuromodulation for neurological disorders.
  • BMIs are driving innovation in neuroart, neurogames, and human augmentation, enhancing physical and cognitive abilities.

Conclusions:

  • BMIs offer significant therapeutic potential for neurological disorders and paralysis.
  • Emerging applications extend to art, entertainment, and human augmentation.
  • BMIs challenge concepts of identity and may lead to technologically guided human evolution.