Papers

4

Total Citations

71

H-Index

3

About

Won Joon Sohn is a researcher at the intersection of neuromorphic engineering, neuromechanics, and brain-computer interfaces (BCIs). His work focuses on creating biologically realistic robotic systems that emulate the spinal circuitry responsible for muscle control and sensory feedback. In his highly cited two-part series, "Neuromorphic meets neuromechanics" (2017, 35 and 30 citations respectively), Sohn introduced a novel methodology for implementing afferented muscle behavior in robotic systems, including a groundbreaking Neuro-mechano-morphic system that actuated a cadaveric finger to study stretch reflex circuitry and fusimotor drive. This work bridges the gap between neural computation and physical interaction, offering insights into how biological principles can enhance robotic control. Sohn has also explored the challenges of controlling objects with internal dynamics, such as carrying a cup of coffee, and is advancing embedded bi-directional BCIs for ambulation in spinal cord injury patients. His research holds promise for both neuroprosthetics and next-generation robotics, making him a notable figure in the field of embodied intelligence.

Research Focus

Key Achievements

3
H-Index
4
Papers
71
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Neuromorphic meets neuromechanics, part I: the methodology and implementation
35 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: American Physical Therapy Association, Emory University, Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago