# Brain-Computer Interfaces: AI-Powered Neural Decoding and Neurotechnology
Status: public
Confidence: medium (0.8) (verified)
Last verified: 2026-05-28
Generation: ai_structured

## TL;DR
Brain-Computer Interfaces: AI-Powered Neural Decoding and Neurotechnology: Brain-computer interface AI decodes neural signals for communication, cursor control, robotic movement, or assistive neurotechnology.

## Core Explanation
BCI systems rely on signal acquisition, feature extraction, decoding models, and feedback. Modern work includes intracortical handwriting-to-text decoding and robotic-arm control for people with paralysis.

## Further Reading

- [High-performance brain-to-text communication via handwriting](https://www.nature.com/articles/s41586-021-03506-2)
- [Reach and grasp by people with tetraplegia using a neurally controlled robotic arm](https://www.nature.com/articles/nature11076)
- [Neuronal ensemble control of prosthetic devices by a human with tetraplegia](https://www.nature.com/articles/nature04970)