Publikationen von Simon Hofmann

Zeitschriftenartikel (5)

2022
Zeitschriftenartikel
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)
Zeitschriftenartikel
Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. Collabra: Psychology 8 (1), 35903 (2022)
Zeitschriftenartikel
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)
2021
Zeitschriftenartikel
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)
2014
Zeitschriftenartikel
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)

Konferenzbeitrag (5)

2023
Konferenzbeitrag
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)
2022
Konferenzbeitrag
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)
2020
Konferenzbeitrag
Sangati, E.; Hofmann, S.: The role of co-representations in joint tracking. In: Artificial Life Conference Proceedings, S. 526 - 534. (2020)
2018
Konferenzbeitrag
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)
Konferenzbeitrag
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)

Vortrag (3)

2022
Vortrag
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)
Vortrag
Hofmann, S.; Klotzsche, F.: Entschlüsselung von Emotionen aus Gehirnwellen während virtueller Achterbahnfahrten. Die Macht der Emotionen, Emotionswissen Erleben, Franckesche Stiftungen, Halle/Saale, Germany (2022)
Vortrag
Hofmann, S.: Sustainable deep learning models for neuroimaging. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Poster (4)

2022
Poster
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)
2020
Poster
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)
2018
Poster
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)
Poster
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)

Preprint (3)

2021
Preprint
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)
Preprint
Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. (2021)
2020
Preprint
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)
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