Mark Homer

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About

Mark Homer is a leading researcher in the field of intracortical brain–computer interfaces (iBCIs), with a focus on restoring movement and communication for people with tetraplegia. His work centers on improving the accuracy and usability of neural decoding algorithms that translate brain signals into real-world device control. Homer’s major contributions include developing adaptive offset correction techniques to stabilize iBCI performance over time, addressing a key challenge in long-term clinical use. He also advanced the mixing of decoded cursor velocity and position from Kalman filters, a method that significantly enhanced cursor control for users with paralysis. His most cited paper, “Adaptive Offset Correction for Intracortical Brain–Computer Interfaces” (2013), has garnered 21 citations, while his work on mixing Kalman filter outputs (2013) has earned 13 citations. These studies have directly informed the design of more reliable and intuitive iBCI systems, enabling individuals with tetraplegia to operate robotic arms and computer interfaces with greater precision. Homer’s research bridges engineering and clinical neuroscience, making him a key figure in the translation of brain–computer interfaces from the lab to life-changing assistive technologies.