Brandon McMahan

University of California, Los Angeles

Papers

1

Total Citations

12

H-Index

1

About

Brandon McMahan is a rising figure in the field of neural engineering, whose work is redefining the interface between human cognition and artificial intelligence. His primary research focuses on brain-computer interfaces (BCIs), with a particular emphasis on integrating AI copilots to enhance real-time control and adaptability. In his most-cited paper, "Brain–computer interface control with artificial intelligence copilots" (2025, 12 citations), McMahan introduces a novel framework where AI systems collaborate with users to decode neural signals more accurately and intuitively, reducing cognitive load and improving BCI performance. This contribution is pivotal for advancing assistive technologies, particularly for individuals with motor impairments, and for expanding the potential of human-AI symbiosis. Though early in his career, McMahan’s work has already garnered attention for its practical implications in neuroprosthetics and interactive AI. His research stands out for its interdisciplinary approach, merging machine learning, neuroscience, and human-computer interaction. As a forward-thinking researcher, McMahan is poised to shape the next generation of intelligent, user-centered neural interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Brain–computer interface control with artificial intelligence copilots
12 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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