The Invisible Maze Task (IMT): Interactive Exploration of Sparse Virtual Environments to Investigate Action-Driven Formation of Spatial Representations. - Lukas Gehrke; John R. Iversen; Scott Makeig; Klaus Gramann (Spatial Cognition, 2018)

Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials. - Lukas Gehrke; Sezen Akman; Pedro Lopes 001; Albert Chen 004; Avinash Kumar Singh; Hsiang-Ting Chen; Chin-Teng Lin; Klaus Gramann (CHI, 2019)

Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation. - Lukas Gehrke; Luke Guerdan; Klaus Gramann (NER, 2019)

D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. - Maja Schneider; Lukas Gehrke; Peter Christen; Erhard Rahm (GI-Jahrestagung, 2022)

Towards an Implicit Metric of Sensory-Motor Accuracy: Brain Responses to Auditory Prediction Errors in Pianists. - Elisabeth Pangratz; Francesco Chiossi; Steeven Villa; Klaus Gramann; Lukas Gehrke (Creativity & Cognition, 2023)

Predicting the Limits: Tailoring Unnoticeable Hand Redirection Offsets in Virtual Reality to Individuals' Perceptual Boundaries. - Martin Feick; Kora Persephone Regitz; Lukas Gehrke; André Zenner; Anthony Tang 001; Tobias Patrick Jungbluth; Maurice Rekrut; Antonio Krüger (UIST, 2024)

Exposing Movement Correlates of Presence Experience in Virtual Reality Using Parametric Maps. - Lukas Gehrke; Klaus Gramann (VR Workshops, 2024)

Decoding Realism of Virtual Objects: Exploring Behavioral and Ocular Reactions to Inaccurate Interaction Feedback. - Leonie Terfurth; Klaus Gramann; Lukas Gehrke (ACM Trans. Comput. Hum. Interact., 2024)

Modeling the Intent to Interact With VR Using Physiological Features. - Willy Nguyen; Klaus Gramann; Lukas Gehrke (IEEE Trans. Vis. Comput. Graph., 2024)

Sense of Agency in Closed-Loop Muscle Stimulation. - Lukas Gehrke; Leonie Terfurth; Klaus Gramann (IEEE Access, 2025)

Neuroadaptive Haptics: Comparing Reinforcement Learning from Explicit Ratings and Neural Signals for Adaptive XR Systems. - Lukas Gehrke; Aleksandrs Koselevsk; Marius Klug; Klaus Gramann (CoRR, 2025)