R. Jacob Vogelstein
Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory
Papers
5
Total Citations
390
H-Index
5
About
R. Jacob Vogelstein is a pioneering researcher at the intersection of neuroscience, robotics, and neural engineering, whose work has fundamentally advanced brain-machine interfaces (BMIs) and neuromorphic computing. His primary research areas include hybrid neural control systems, intracranial electroencephalography (iEEG)-based prosthetics, and silicon-based central pattern generators. Vogelstein’s most impactful contribution is the development of the Hybrid Augmented Reality Multimodal Operation Neural Integration Environment (HARMONIE), a groundbreaking system that fuses human intracranial EEG, eye tracking, and computer vision to control robotic upper limb prosthetics—a study that has garnered 190 citations. He further demonstrated simultaneous neural control of reaching and grasping using the Modular Prosthetic Limb (MPL) with iEEG signals (90 citations), showcasing unprecedented dexterity in human subjects. In neuromorphic engineering, Vogelstein created a silicon central pattern generator chip that emulates spinal cord activity to produce locomotion in vivo (72 citations), and later refined this with floating gate synapses for programmable neural networks (13 citations). His work bridges invasive and non-invasive approaches, offering faster clinical translation for assistive robotics. Vogelstein’s innovations have set new standards for intuitive prosthetic control and bio-inspired hardware, making him a leading figure in restoring motor function through neural technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Silicon Central Pattern Generator Controls Locomotion in Vivo72 citations · 2008
- 4HARMONIE: A multimodal control framework for human assistive robotics25 citations · 2013
- 5A Spiking Silicon Central Pattern Generator with Floating Gate Synapses13 citations · 2005