Publications of Simon Hofmann

Hofmann, S.; Beyer, F.; Lapuschkin, S.; Goltermann, O.; Loeffler, M.; Müller, K.-R.; Villringer, A.; Samek, W.; Witte, A. V.: Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage 261, 119504 (2022)

Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. Collabra: Psychology 8 (1), 35903 (2022)

Kumral, D.; Cesnaite, E.; Beyer, F.; Hofmann, S.; Hensch, T.; Sander, C.; Hegerl, U.; Haufe, S.; Villringer, A.; Witte, A. V. et al.; Nikulin, V. V.: Relationship between regional white matter hyperintensities and alpha oscillations in older adults. Neurobiology of Aging 112, pp. 1 - 11 (2022)

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. eLife 10, e64812 (2021)

Cymek, D. H.; Ruff, S.; Hofmann, S.; Venjakob, A. C.; Lutz, O. H.-M.; Roetting, M.: Entering PIN codes by smooth pursuit eye movements. Journal of Eye Movement Research 7 (4) (2014)

Müller, K.-R.; Hofmann, S.: Interpreting deep learning models for multi-modal neuroimaging. In: Proceedings of the 11th International Winter Conference on Brain-Computer Interface (BCI). IEEE (2023)

Hofmann, S.; Koushik, A.; Klotzsche, F.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Testing the effect of depth on the perception of faces in an online study. In: Proceedings of the 2022 Conference on Cognitive Computational Neuroscience. Conference on Cognitive Computational Neuroscience (CCN), San Francisco, August 25, 2022 - August 28, 2022. (2022)

Sangati, E.; Hofmann, S.: The role of co-representations in joint tracking. In: Artificial Life Conference Proceedings, pp. 526 - 534. (2020)

Hofmann, S.; Klotzsche, F.; Mariola, A.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Decoding subjective emotional arousal during a naturalistic VR experience from EEG using LSTMs. In: 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE Artificial Intelligence and Virtual Reality, Taichung, Taiwan, December 10, 2018 - December 12, 2018. (2018)

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. In: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, Germany, March 18, 2018 - March 22, 2018. (2018)

Hofmann, S.; Milosevic, N.: Künstliche Intelligenz: Ein Blick in die Black Box der Technologie und ihre Grenzen. MACHN 23 Festival – Festival for Tech, Business & Art, Leipzig, Germany (2023)

Bayramova, R.; Goltermann, O.; Enk, L.; Hinrichs, M.; Kamp, F.; Serio, B.; Hofmann, S.: Explainable AI for higher cognitive functions: How to provide explanations in the face of increasing complexity. 22nd Conference of the European Sociaty for Cognitive Psychology (ESCOP), Lille, France (2022)

Hofmann, S.; Klotzsche, F.: Entschlüsselung von Emotionen aus Gehirnwellen während virtueller Achterbahnfahrten. Die Macht der Emotionen, Emotionswissen Erleben, Franckesche Stiftungen, Halle/Saale, Germany (2022)

Hofmann, S.: Sustainable deep learning models for neuroimaging. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

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)

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)