Papers

4

Total Citations

232

H-Index

4

About

Stefano Panzeri is a leading researcher at the intersection of neuroscience, robotics, and neural engineering, whose work focuses on decoding how the brain controls movement and how this knowledge can be translated into advanced rehabilitation technologies and brain-machine interfaces. His major contributions span three interconnected areas: the study of muscle synergies as fundamental building blocks of motor control, the development of biofeedback systems for robotic rehabilitation, and the creation of bidirectional neural interfaces that bridge cortical activity with robotic devices. His highly cited 2013 review on muscle synergies (166 citations) has become a foundational reference in the field, synthesizing insights from neuroscience and control engineering to explain how the central nervous system simplifies movement generation. Panzeri has also pioneered work on using electrophysiological signals from muscles as control inputs for rehabilitation robots, demonstrating how abnormal activation patterns can guide personalized therapy. His research on bidirectional neural interfaces—combining motor decoding with sensory feedback through electrical stimulation—represents a significant step toward creating more natural and effective prosthetic systems. Additionally, his exploration of spike-time-based learning for event-driven vision sensors showcases his commitment to developing biologically inspired computational frameworks for robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
232
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives
166 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Italian Institute of Technology, Center for Neuroscience and Cognitive Systems

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago