This repository contains the real-time software, and analysis and visualization scripts for studying multitasking using an EEG-based brain-computer interfaces (BCIs).
This study used a modified version of the real-time BCI platform described in:
📂 BCI Real-Time Neuroimaging Repository
📄 Science Robotics Paper
Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms
B. J. Edelman et al., IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018
- Investigates how well users can multitask during EEG-based BCI control.
- Key contributions:
- Developed a BCI framework for simultaneous sensorimotor rhythma nd SSVEP signal analysis.
- Showed that task complexity affects BCI performance and user control.
- Identified dual-task features that facilitate or hinder performance.