Jonas L. Isaksen
Papers
1
Total Citations
4
H-Index
1
About
Jonas L. Isaksen is a researcher at the intersection of brain-computer interfaces (BCIs) and assistive technology. His primary research focuses on developing non-invasive BCI systems for real-world applications, particularly for individuals with severe motor disabilities. Isaksen’s most cited work, a 2016 study on code-modulated Visual Evoked Potentials (c-VEP), demonstrates his key contribution: optimizing pseudorandom sequences—specifically m-codes, Gold-codes, and Barker-codes—to improve BCI accuracy and speed for online wheelchair control. This comparative study, with 4 citations, provides foundational insights into how different visual stimulation patterns affect signal reliability in real-time BCI operation. His work bridges theoretical signal processing with practical, user-centered design, aiming to translate laboratory BCI advances into tangible mobility aids. Isaksen’s research is notable for its focus on the critical balance between system performance and user comfort, a challenge central to making BCIs viable for daily use. By systematically evaluating coding strategies, he has helped refine the technical parameters that govern c-VEP-based BCIs, contributing to the broader goal of creating responsive, intuitive control interfaces for assistive devices.
Research Focus
Key Achievements
Top Papers
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