Publications of Simon Hofmann

Journal Article (5)

2022
Journal Article
Hofmann, S., Beyer, F., Lapuschkin, S., Goltermann, O., Loeffler, M., Müller, K.-R., … Witte, A. V. (2022). Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage, 261. doi:10.1016/j.neuroimage.2022.119504
Journal Article
Govaart, G., Hofmann, S., & Medawar, E. (2022). The sustainability argument for open science. Collabra: Psychology, 8. doi:10.1525/collabra.35903
Journal Article
Kumral, D., Cesnaite, E., Beyer, F., Hofmann, S., Hensch, T., Sander, C., … Nikulin, V. V. (2022). Relationship between regional white matter hyperintensities and alpha oscillations in older adults. Neurobiology of Aging, 112, 1–11.
2021
Journal Article
Hofmann, S., Klotzsche, F., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2021). Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. ELife, 10. doi:10.7554/eLife.64812
2014
Journal Article
Cymek, D. H., Ruff, S., Hofmann, S., Venjakob, A. C., Lutz, O. H.-M., & Roetting, M. (2014). Entering PIN codes by smooth pursuit eye movements. Journal of Eye Movement Research, 7. doi:10.16910/jemr.7.4.1

Conference Paper (4)

2022
Conference Paper
Hofmann, S., Koushik, A., Klotzsche, F., Nikulin, V. V., Villringer, A., & Gaebler, M. (2022). Testing the effect of depth on the perception of faces in an online study. In Proceedings of the 2022 Conference on Cognitive Computational Neuroscience. San Francisco. doi:10.32470/CCN.2022.1254-0
2020
Conference Paper
Sangati, E., & Hofmann, S. (2020). The role of co-representations in joint tracking. In Artificial Life Conference Proceedings (pp. 526–534).
2018
Conference Paper
Hofmann, S., Klotzsche, F., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2018). 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). Taichung, Taiwan. doi:10.1109/AIVR.2018.00026
Conference Paper
Klotzsche, F., Mariola, A., Hofmann, S., Nikulin, V. V., Villringer, A., & Gaebler, M. (2018). 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). Reutlingen, Germany. doi:10.1109/VR.2018.8446275

Talk (3)

2022
Talk
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. Talk_at_event presented at the 22nd Conference of the European Sociaty for Cognitive Psychology (ESCOP), Lille, France. Retrieved from https://escop2022.org/
Talk
Hofmann, S., & Klotzsche, F. Entschlüsselung von Emotionen aus Gehirnwellen während virtueller Achterbahnfahrten. Talk_at_event presented at the Die Macht der Emotionen, Emotionswissen Erleben, Franckesche Stiftungen, Halle/Saale, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-06E2-F
Talk
Hofmann, S. Sustainable deep learning models for neuroimaging. Talk_at_event presented at the 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. Retrieved from http://hdl.handle.net/21.11116/0000-000B-06E0-1

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. Poster presented at the 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. Retrieved from http://hdl.handle.net/21.11116/0000-000B-05E5-D
2020
Poster
Hofmann, S., Samek, W., Loeffler, M., Müller, K.-R., Villringer, A., & Witte, A. V. Understanding deep learning-based brain age predictions. Poster presented at the 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000B-442F-5
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. Poster presented at the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C44B-B
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. Poster presented at the MindBrainBody Symposium, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0004-F056-C

Preprint (3)

2021
Preprint
Hofmann, S., Beyer, F., Lapuschkin, S., Loeffler, M., Müller, K.-R., Villringer, A., … Witte, A. V. (2021, August 26). Towards the interpretability of deep learning models for human neuroimaging. BioRxiv. doi:10.1101/2021.06.25.449906
Preprint
Govaart, G., Hofmann, S., & Medawar, E. (2021, June 30). The sustainability argument for open science. Open Science Framework (OSF). doi:10.31219/osf.io/abt8q
2020
Preprint
Hofmann, S., Klotzsche, F., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2020, November 10). Decoding subjective emotional arousal from EEG during an immersive Virtual Reality experience. BioRxiv. doi:10.1101/2020.10.24.353722
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