Developing advanced brain-machine interfaces using artificial intelligence
Next generation brain-machine interfaces controlled synergistically with artificial intelligence
This study is working on new technology that helps people with paralysis regain movement by using brain signals to control things like robotic arms or computers, making life a little easier and more enjoyable for those affected by conditions like stroke or spinal cord injuries.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10003004 on NIH RePORTER |
What this research studies
This research focuses on creating next-generation brain-machine interfaces (BMIs) that can help individuals with paralysis regain control over their movements. By utilizing artificial intelligence, the project aims to decode neural signals from the brain and translate them into actions, such as moving a robotic arm or controlling a computer cursor. The goal is to enhance the performance of these interfaces, making them more effective and accessible for patients. This innovative approach seeks to improve the quality of life for those who have lost the ability to move due to conditions like stroke, spinal cord injury, or multiple sclerosis.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals suffering from paralysis due to conditions such as stroke, spinal cord injury, multiple sclerosis, or ALS.
Not a fit: Patients with movement disorders that are not related to paralysis may not receive benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance the independence and quality of life for millions of individuals living with paralysis.
How similar studies have performed: Previous research has shown promise in the development of brain-machine interfaces, but this approach aims to achieve a significant breakthrough in performance and accessibility.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Kao, Jonathan Chau-Yan — University of California Los Angeles
- Study coordinator: Kao, Jonathan Chau-Yan
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.