Papers

6

Total Citations

368

H-Index

5

About

Aaron J. Suminski is a leading researcher in neural engineering and motor control, whose work bridges the gap between fundamental neuroscience and advanced prosthetic technologies. His primary research areas include brain-machine interfaces (BMIs), multisensory integration, and neuroprosthetics. Suminski’s major contributions center on enhancing BMI performance by decoding intended future movements and incorporating feedback from multiple sensory modalities—a breakthrough that significantly improves the naturalism and control of prosthetic limbs. His seminal 2010 paper on multisensory feedback for BMI control has garnered over 235 citations, underscoring its impact on the field. He has also explored the neural correlates of memory and prediction in motor adaptation, and pioneered the design of MR-compatible tools for studying sensorimotor integration. Notably, his recent work on osseointegrated neural interfaces for prosthetic control in animal models represents a critical step toward creating seamless, intuitive connections between residual nerves and robotic limbs. Through his innovative research, Suminski continues to advance our understanding of how the brain integrates sensory information to guide movement, with direct implications for restoring motor function in individuals with paralysis or limb loss.

Research Focus

Key Achievements

5
H-Index
6
Papers
368
Total Citations
61
Avg Citations/Paper
🏆 Most Cited Paper
Incorporating Feedback from Multiple Sensory Modalities Enhances Brain–Machine Interface Control
235 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Chicago, Marquette University, University of Wisconsin–Madison

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago