Bo Hyun Lee

California Institute of Technology

Papers

1

Total Citations

6

H-Index

1

About

Bo Hyun Lee’s research sits at the cutting edge of neural engineering, focusing on brain-machine interfaces (BMIs) to restore function for individuals with paralysis. His most cited work, “Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human” (2021, 6 citations), demonstrates a pivotal breakthrough: the ability to decode both hand grasp movements and attempted speech from the same cortical region in a tetraplegic patient. This dual-function approach challenges traditional BMI designs, suggesting that the brain’s grasp circuit can serve as a versatile platform for restoring motor and communication abilities. Lee’s contributions are notable for their translational potential, directly addressing the daily independence of patients with spinal cord injury. By showing that neural signals for grasping and speech can be extracted simultaneously, his work opens new avenues for more intuitive, multi-modal prosthetic control. Though early in citation impact, this study has already influenced subsequent research on cortical decoding strategies, positioning Lee as an emerging leader in neuroprosthetics. His achievements underscore a commitment to merging fundamental neuroscience with practical, life-changing applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: California Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago