Tonio Ball A

This paper describes a modular, adaptive, deep-learning-based Brain-VR Interface that integrates motor imagery BCI control into a gamified VR scenario to enhance long-term user motivation.

This paper benchmarks machine learning approaches for brain age prediction using M/EEG signals across four international cohorts, finding that spatially aware models achieve the highest performance.

This study uses tDCS to modulate dream movement during REM sleep, finding reduced dream movement but no effect on other bodily sensations.

This study characterizes the topographic and spectral features of extracranial EMG in intracranial EEG recordings and shows that chewing-related EMG has higher spectral power than neural activity.

The paper identifies a transcallosal fiber system connecting homotopic inferior frontal regions involved in complex linguistic processing using DTI-based probabilistic fiber tracking in healthy volunteers.

This paper presents a BCI system that enables paralyzed users to control a robotic assistant using thoughts, demonstrating adaptability and task completion in real-world scenarios.

This study investigates error processing in the human brain using high-gamma activity from noninvasive and intracranial EEG, revealing distinct global and local dynamics in error-related responses.