Garett D. Johnson

University of North Florida, Old Dominion University

Papers

Total Citations

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About

Garett D. Johnson is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and biomedical microdevices. His work has fundamentally advanced how neural signals can be translated into real-world device control, particularly for assistive technologies. Johnson’s most influential contribution, “Extending the discrete selection capabilities of the P300 speller to goal-oriented robotic arm control” (2010, 12 citations), demonstrated how the P300 event-related potential—a brain response to sensory stimuli—could be harnessed to command robotic arms, offering a non-muscular pathway for paralyzed individuals to interact with their environment. This work expanded BCI applications from simple communication to complex motor tasks. Johnson also critically examined the limitations of scalp-EEG for continuous device control (2011, 4 citations), providing essential guidance for future BCI design. Demonstrating remarkable interdisciplinary breadth, he later developed a microfluidic-based tactile sensor for palpating tumor tissues in mice (2016, 3 citations), advancing robotics-assisted minimally invasive surgery. Johnson’s career exemplifies how foundational BCI research can merge with biomedical engineering to create tangible, life-changing technologies.