Publikationen von 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, S. 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)

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, 25. August 2022 - 28. August 2022. (2022)

Sangati, E.; Hofmann, S.: The role of co-representations in joint tracking. In: Artificial Life Conference Proceedings, S. 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, 10. Dezember 2018 - 12. Dezember 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, 18. März 2018 - 22. März 2018. (2018)

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)

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)

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.; 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. (2021)

Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. (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. (2020)