Papers

6

Total Citations

82

H-Index

2

About

Pablo Celnik is a leading figure in neurorehabilitation and brain-machine interfaces (BMI), with a focus on restoring motor function and sensory feedback for individuals with paralysis or stroke. His research spans noninvasive brain stimulation, robotic systems, and cortical neuroprosthetics. Celnik’s major contributions include pioneering shared control of bimanual robotic limbs via BMI for self-feeding, enabling tetraplegic patients to simultaneously classify bilateral hand gestures from microelectrode recordings, and developing artificial touch feedback through intracortical microstimulation of the somatosensory cortex to convey grip force. He has also investigated how anodal cerebellar transcranial direct current stimulation (tDCS) impacts skill learning and transfer in complex tasks like robotic surgery, and explored cortical responses to tactile expectation from anthropomorphic versus non-anthropomorphic systems. His work on noninvasive brain stimulation after stroke has informed rehabilitation strategies. With over 80 citations across his most-cited papers, Celnik’s research is highly influential, advancing both fundamental understanding of sensorimotor integration and practical applications for neural prosthetics and stroke recovery.

Research Focus

Key Achievements

2
H-Index
6
Papers
82
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding
59 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Johns Hopkins University, Shirley Ryan AbilityLab, Johns Hopkins Medicine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago