Brain–Computer Interfaces & Terotechnology

Brain–computer interfaces translate neural signals into control of external devices. Advances in decoding algorithms enable precise detection of intention and movement. Non-invasive and invasive approaches each offer unique capabilities. Assistive technologies support communication and mobility. Neural engineering continues to push technological boundaries. Clinical testing demonstrates improvements in independence and quality of life. Safety considerations and long-term device stability receive focused attention. Ethical discussions highlight consent, privacy, and data use. Integration with rehabilitation programs enhances functional outcomes. The track presents BCIs as a powerful collaboration between neuroscience and engineering.

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