David McNiel
Papers
1
Total Citations
2
H-Index
1
About
David McNiel’s research lies at the intersection of neural engineering and brain-machine interfaces (BMIs), with a focus on restoring motor function for individuals with paralysis or limb loss. His most-cited work, a 2016 pilot study, pioneered methods for predicting grip force from neural signals recorded across multiple brain regions, advancing the design of BMIs capable of producing finely controlled robotic hand movements. Though early in his career, this contribution addresses a critical gap in restoring naturalistic, dexterous limb function. With 2 citations, the study serves as a foundational step toward more intuitive prosthetic control, highlighting McNiel’s commitment to translating neural signal processing into practical, life-changing technologies. His work underscores the potential of multi-region neural recordings to enhance the precision and responsiveness of assistive devices, positioning him as a promising voice in the evolving field of neuroprosthetics.
Research Focus
Key Achievements
Top Papers
- 1