Publications of Simon Hofmann

Hofmann, S.; Scherf, N.; Gaebler, M.: Scilaunch your research project. 11th MindBrainBody Symposium 2024, Berlin, Germany (2024)

Fourcade, A.; Klotzsche, F.; Hofmann, S.; Mariola, A.; Nikulin, V. V.; Villringer, A.: Linking brain-heart interactions to emotional arousal in immersive virtual reality. Annual Meeting of the Society for Psychophysiological Research (SPR 2023), New Orleans, LA, USA (2023)

Hofmann, S.; Goltermann, O.; Villringer, A.; Witte, A. V.; Beyer, F.: Gray matter morphometric changes drive whole-brain deep learning based brain-age predictions. 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Montréal, QC, Canada (2023)

Klotzsche, F.; Nasim, A.; Hofmann, S.; Villringer, A.; Nikulin, V. V.; Sommer, W.; Gaebler, M.: Decoding the neural representations of emotional faces in stereo-versus monoscopic viewing conditions. Annual Meeting of the Vision Science Society (VSS 2023), St. Pete Beach, FL, USA (2023)

Fourcade, A.; Klotzsche, F.; Hofmann, S.; Mariola, A.; Nikulin, V. V.; Villringer, A.: Linking brain-heart interactions to emotional arousal in immersive virtual reality. Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2023)

Klotzsche, F.; Nasim, A.; Hofmann, S.; Villringer, A.; Nikulin, V. V.; Sommer, W.; Gaebler, M.: Stereoscopic vision and emotional face processing: Insights from a combined EEG and virtual reality study. 10th MindBrainBody Symposium 2023, Berlin, Germany (2023)

Goltermann, O.; Hofmann, S.; Villringer, A.; Witte, A. V.; Beyer, F.: Deep neural networks interpret white matter lesions as a signature of higher brain-age. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Hofmann, S.; Samek, W.; Loeffler, M.; Müller, K.-R.; Villringer, A.; Witte, A. V.: Understanding deep learning-based brain age predictions. 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Virtual (2020)

Klotzsche, F.; Mariola, A.; Hofmann, S.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Using EEG to decode subjective levels of emotional arousal during an immersive VR roller coaster ride. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, Germany (2018)

Mariola, A.; Klotzsche, F.; Hofmann, S.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Neurophysiophenomenology – predicting emotional arousal from brain arousal in a virtual reality roller coaster. MindBrainBody Symposium, Berlin, Germany (2018)

Hofmann, S.; Goltermann, O.; Scherf, N.; Müller, K.-R.; Löffler, M.; Villringer, A.; Gaebler, M.; Witte, A. V.; Beyer, F.: The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. bioRxiv (2024)

Hofmann, S.; Ciston, A.; Koushik, A.; Klotzsche, F.; Hebart, M. N.; Müller, K.-R.; Villringer, A.; Scherf, N.; Hilsmann, A.; Nikulin, V. V. et al.; Gaebler, M.: Human-aligned deep and sparse encoding models of dynamic 3D face similarity perception. PsyArXiv (2024)

Forster, C.; Stephani, T.; Grund, M.; Panagoulas, E.; Al, E.; Hofmann, S.; Nikulin, V. V.; Villringer, A.: Pre-stimulus beta power encodes explicit and implicit perceptual biases in distinct cortical areas. bioRxiv (2024)

Beckmann, A.; Stephani, T.; Klotzsche, F.; Chen, Y.; Hofmann, S.; Villringer, A.; Gaebler, M.; Nikulin, V. V.; Bosse, S.; Eisert, P. et al.; Hilsmann, A.: EEG-features for generalized deepfake detection. ArXiv (2024)

Hofmann, S.; Beyer, F.; Lapuschkin, S.; Loeffler, M.; Müller, K.-R.; Villringer, A.; Samek, W.; Witte, A. V.: Towards the interpretability of deep learning models for human neuroimaging. bioRxiv (2021)

Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. Open Science Framework (OSF) (2021)

Hofmann, S.; Klotzsche, F.; Mariola, A.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Decoding subjective emotional arousal from EEG during an immersive Virtual Reality experience. bioRxiv (2020)