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Research dossier · version 1 · updated Oct 30, 2026

Brain-Computer Interfaces: State of the Field (October 2026)

Covers intracortical and cortical-surface speech neuroprostheses, electrode-density and stability work, noninvasive EEG and fNIRS interfaces, stroke-rehabilitation trials, and the open debates on decoder design and imagined-speech validity as of October 2026. The most important takeaway: intracortical speech decoding has reached 62 words per minute with a 9.1% word error rate on a 50-word vocabulary, but error rises sharply with vocabulary size and calibration burden and regulatory status remain unsettled.

3,721 words44 sources29 evidence-mapped claims5 benchmarks17 timeline events✓ citation-verified Oct 30, 2026

AI-assisted synthesis of the cited literature, independently fact-checked against its sources; not peer reviewed. Research summary, not medical advice.

Contents

  1. Executive summary
  2. Background and core concepts
  3. Timeline of key milestones
  4. State of the art
  5. Intracortical speech neuroprostheses
  6. Cortical-surface (ECoG) systems
  7. Intracortical communication and control
  8. Calibration, stability and transfer
  9. Noninvasive BCIs and imagined speech
  10. Rehabilitation trials
  11. Electrode materials, safety and robustness
  12. Quantitative benchmarks
  13. Open problems and active debates
  14. Major programs and players
  15. Outlook: what to watch
  16. Key papers
  17. Glossary

Sample findings

  • Willett et al. (2023) reported attempted speech decoded into text at 62 words per minute with an intracortical speech neuroprosthesis.
  • The same 2023 system had a 9.1% word error rate on a 50-word vocabulary.
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