Alexander Kaplan

About

Alexander Kaplan is a leading figure in non-invasive brain–computer interface (BCI) research, with a particular focus on P300-based systems and their integration with robotic devices. His work has been instrumental in advancing the practical application of BCIs for assistive technology. Kaplan’s most notable contribution is the development of a neuro-integrated control system for a lower-limb robotic exoskeleton, driven by motor-imagery EEG patterns—a breakthrough that earned 45 citations. He has also pioneered the use of moving visual stimuli in P300 BCIs, demonstrating that stimuli attached to moving objects or virtual game elements can be as effective as traditional fixed-location paradigms. His studies on the impact of color, shape, and mobility on BCI performance have provided critical design insights for more intuitive and engaging interfaces. With multiple highly cited papers—including a 40-citation study on event-related potentials in a moving matrix paradigm—Kaplan’s work has significantly shaped the field of BCI-driven exoskeleton control and interactive neurotechnology.

Research Focus

Key Achievements

Top Papers

1. 1
   Exoskeleton Control System Based on Motor-Imaginary Brain–Computer Interface

   45 citations · 2017
2. 2
   Event-related potentials in a moving matrix modification of the P300 brain–computer interface paradigm

   40 citations · 2011
3. 3
   A P300-based Brain-Computer Interface with Stimuli on Moving Objects: Four-Session Single-Trial and Triple-Trial Tests with a Game-Like Task Design

   39 citations · 2013
4. 4
   P300 BCI with stimuli presented on moving objects

   9 citations · 2011
5. 5
   Visual Stimuli for P300-Based Brain-Computer Interfaces: Color, Shape, and Mobility

   9 citations · 2018

Key Collaborators

Contact & Links