Publications of Simon Hofmann

Fourcade, A., Klotzsche, F., Hofmann, S., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2024). Linking brain-heart interactions to emotional arousal in immersive virtual reality. Psychophysiology, 61. doi:10.1111/psyp.14696

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

Govaart, G., Hofmann, S., & Medawar, E. (2022). The sustainability argument for open science. Collabra: Psychology, 8. doi:10.1525/collabra.35903

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.

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

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

Müller, K.-R., & Hofmann, S. (2023). Interpreting deep learning models for multi-modal neuroimaging. In Proceedings of the 11th International Winter Conference on Brain-Computer Interface (BCI). IEEE. doi:10.1109/BCI57258.2023.10078502

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

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

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

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

Fourcade, A., Klotzsche, F., Hofmann, S., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2023). Linking brain-heart interactions to emotional arousal in immersive virtual reality. In Psychophysiology (Vol. 60, pp. S65–S65). New York, NY [etc.]: Blackwell Publishing Inc. [etc.].

Hofmann, S. Explainable A.I. for neuroimage analysis: A general overview and an introduction to the xai4mri toolbox. Talk_at_event presented at the 40th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2024), Barcelona, Spain. Retrieved from http://hdl.handle.net/21.11116/0000-0010-9531-E

Hofmann, S., Scherf, N., & Gaebler, M. Scilaunch your research project. Talk_at_event presented at the 11th MindBrainBody Symposium 2024, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0010-9534-B

Hofmann, S., & Milosevic, N. Künstliche Intelligenz: Ein Blick in die Black Box der Technologie und ihre Grenzen. Talk_at_event presented at the MACHN 23 Festival – Festival for Tech, Business & Art, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000D-EEAA-8

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/

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

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

Hofmann, S., Scherf, N., Gaebler, M., Villringer, A., Witte, A. V., & Beyer, F. xai4mri – A python toolbox for explainable deep-learning-based MRI predictions. Poster presented at the Annual Meeting of the Society for Neuroscience 2024 (SfN), Chicago, IL, USA. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B32-9

Hofmann, S., Ciston, A., Koushik, A., Klotzsche, F., Scherf, N., Villringer, A., … Gaebler, M. Sampling from the cognitive face space under 3D viewing conditions. Poster presented at the 11th MindBrainBody Symposium 2024, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B2C-1