Area of research
Cognitive Neuroscience · Automotive Engineering
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Spatial Cognition and Navigation, and Visual perception and processing mechanisms.
Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research
Beyond built density: From coarse to fine-grained analyses of emotional experiences in urban environments
Multisensory input modulates memory-guided spatial navigation in humans
Neural sources of prediction errors detect unrealistic VR interactions
Human brain dynamics in active spatial navigation
Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments
Alteration of brain dynamics during dual‐task overground walking
Mobile brain/body Imaging in dance: A dynamic transdisciplinary field for applied research
Sensorimotor brain dynamics reflect architectural affordances
Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials
Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics
Two Independent Frontal Midline Theta Oscillations during Conflict Detection and Adaptation in a Simon-Type Manual Reaching Task
Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving
Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity
Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects
Toward a new cognitive neuroscience: modeling natural brain dynamics
Imaging natural cognition in action
Embodiment of Spatial Reference Frames and Individual Differences in Reference Frame Proclivity
Biosensor Technologies for Augmented Brain–Computer Interfaces in the Next Decades