Willett et al. brain-computer interface for paralyzed patient handwriting

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• Brain-computer interface enables paralyzed patient to write via motor cortex decodingfinding0.864
  Artificial chimaera merging biological motor cortex with software enabling novel communication without understanding underlying neural mechanisms.
• Brain-to-text communication via handwriting achieved 90 characters per minute in a paralyzed person.finding0.797
  From Willett et al. (2021), shows high-performance artificial chimaera.
• Brain–computer interfaceconcept0.756
  Technology enabling direct communication between the brain and an external device.
• Brain-Machine Interfacesmethod0.724
  Interfaces enabling direct integration of biological neural tissue with machine components, cited as evidence against life/machine binary
• Can Braincomputer Interfaces Achieve Bidirectional Control Sufficient Forquestion0.724
• It is basically impossible to determine if a computer program generates conscious experience by merely observing its performance; a test for consciousness must take internal structure into account.claim0.720
  Paper's argument against behavioral tests for consciousness, establishing why MCH requires internal analysis
• brain fills in blind spot via controlled hallucination (inpainting)concept0.715
  Example of confabulation at low level: optic nerve gap is perceptually filled.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.710
  Central methodological claim of the paper.