Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs. - Simon M. Hofmann; Felix Klotzsche; Alberto Mariola; Vadim V. Nikulin; Arno Villringer; Michael Gaebler (AIVR, 2018)

Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster Ride. - Felix Klotzsche; Alberto Mariola; Simon M. Hofmann; Vadim V. Nikulin; Arno Villringer; Michael Gaebler (VR, 2018)

The Role of Co-Representations in Joint Tracking. - Ekaterina Sangati; Simon M. Hofmann (ALIFE, 2020)

Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. - Simon M. Hofmann; Frauke Beyer; Sebastian Lapuschkin; Ole Goltermann; Markus Loeffler; Klaus-Robert Müller; Arno Villringer; Wojciech Samek; Anja Veronica Witte (NeuroImage, 2022)

Interpreting Deep Learning Models for Multi-modal Neuroimaging. - Klaus-Robert Müller; Simon M. Hofmann (BCI, 2023)

EEG-Features for Generalized Deepfake Detection. - Arian Beckmann; Tilman Stephani; Felix Klotzsche; Yonghao Chen; Simon M. Hofmann; Arno Villringer; Michael Gaebler; Vadim V. Nikulin; Sebastian Bosse; Peter Eisert; Anna Hilsmann (CoRR, 2024)

Revealing the learning process in reinforcement learning agents through attention-oriented metrics. - Charlotte Beylier; Simon M. Hofmann; Nico Scherf (CoRR, 2024)

Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow. - Nahid Torbati; Michael Gaebler; Simon M. Hofmann; Nico Scherf (CoRR, 2025)