Alpha- and theta frequencies as indicators for optimal cognitive load during learning

Adaptive Learning Environments based on BCI Methodology

Detecting Cognitive Load Levels by Means of Brain-Computer-Interface Methodology

Classifying mental states with machine learning algorithms using alpha activity decline

Load-Adaptive Tutor Systems Based on Brain-Computer Interfaces