Papers

3

Total Citations

35

H-Index

2

About

Hongyi Yan is a pioneering researcher at the intersection of neural engineering and biomimetic robotics. Their primary research areas include brain-computer interfaces (BCIs), neural representation stability, and bioinspired artificial reflex systems. Yan's most impactful contribution lies in demonstrating how the brain's representational plasticity of simple imagined movements can be harnessed for long-term neuroprosthetic control—a breakthrough with 29 citations that challenges conventional assumptions about neural stability. By using electrocorticography, Yan revealed that well-rehearsed actions maintain flexible representations on a drifting neural manifold, enabling stable, complex prosthetic control over extended periods. This work has profound implications for developing adaptive, long-lasting neural prosthetics. Additionally, Yan has innovated in artificial reflex arcs, creating a paraffin-enabled superlattice system that responds to photostimulation with gradient-responsive motion, mimicking natural reflex pathways. This achievement, though newer, points toward advanced robotic perception and autonomous navigation. With a growing citation record and a dual focus on fundamental neuroscience and applied neuroengineering, Yan is shaping the future of both restorative neurotechnology and intelligent robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control
29 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of California, San Francisco, Beijing Normal University, San Francisco VA Medical Center

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago