Vikash Gilja

Stanford University, University of California San Diego, John Brown University

Papers

Total Citations

712

H-Index

About

Vikash Gilja is a leading researcher in neural engineering, whose work has significantly advanced the development of brain-machine interfaces (BMIs) for restoring function to people with paralysis. His key research areas include neural prosthesis design, control algorithm development, and the clinical translation of BMI technologies. Gilja’s most impactful contribution came with his 2012 study on a high-performance neural prosthesis, which demonstrated that careful control algorithm design could dramatically improve the speed and accuracy of neural cursor control—a paper that has garnered over 586 citations and reshaped how researchers approach BMI systems. He also made a landmark contribution to the field’s ethical and user-centered design through his 2015 study that directly assessed BMI needs from the perspective of people with paralysis, earning 124 citations and influencing how technologies are evaluated for real-world use. Additionally, his work on neural population dynamics in the motor cortex of individuals with ALS has deepened understanding of how movement-related signals are encoded in the human brain. Gilja’s research bridges cutting-edge computational methods with clinical relevance, positioning him as a key figure in translating neural engineering from the lab to life-changing applications.