Rafael Grigoryan
Papers
1
Total Citations
9
H-Index
1
About
Rafael Grigoryan is a researcher at the forefront of brain-computer interface (BCI) technology, with a focused expertise in P300-based paradigms and the optimization of visual stimuli. His major contribution lies in systematically investigating how fundamental stimulus properties—specifically color, shape, and mobility—affect both the performance of BCI systems and the quality of evoked neural potentials. In his most cited work, "Visual Stimuli for P300-Based Brain-Computer Interfaces: Color, Shape, and Mobility" (2018, 9 citations), Grigoryan demonstrated that stimulus sets incorporating a greater number of discriminative features significantly enhance target selection accuracy. This finding provides a practical, evidence-based framework for designing more intuitive and reliable BCI interfaces, directly impacting applications in assistive technology and neurorehabilitation. His work is notable for bridging cognitive neuroscience and human-computer interaction, offering clear design principles for researchers and engineers. With a citation count reflecting the foundational nature of his studies, Grigoryan continues to shape how we understand and harness the brain’s response to visual cues in real-time communication systems.
Research Focus
Key Achievements
Top Papers
- 1