Publications of Simon Hofmann

Journal Article (6)

2024
Journal Article
Fourcade, A.; Klotzsche, F.; Hofmann, S.; Mariola, A.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Linking brain-heart interactions to emotional arousal in immersive virtual reality. Psychophysiology 61 (12), e14696 (2024)
2022
Journal Article
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)
Journal Article
Govaart, G.; Hofmann, S.; Medawar, E.: The sustainability argument for open science. Collabra: Psychology 8 (1), 35903 (2022)
Journal Article
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)
2021
Journal Article
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
Journal Article
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)

Conference Paper (5)

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

Meeting Abstract (1)

2023
Meeting Abstract
Fourcade, A.; Klotzsche, F.; Hofmann, S.; Mariola, A.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Linking brain-heart interactions to emotional arousal in immersive virtual reality. In Psychophysiology, 60 (Suppl. 1), p. S65 - S65. Blackwell Publishing Inc. [etc.], New York, NY [etc.] (2023)

Talk (6)

2024
Talk
Hofmann, S.: Explainable A.I. for neuroimage analysis: A general overview and an introduction to the xai4mri toolbox. 40th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2024), Barcelona, Spain (2024)
Talk
Hofmann, S.; Scherf, N.; Gaebler, M.: Scilaunch your research project. 11th MindBrainBody Symposium 2024, Berlin, Germany (2024)
2023
Talk
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)
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. 22nd Conference of the European Sociaty for Cognitive Psychology (ESCOP), Lille, France (2022)
Talk
Hofmann, S.; Klotzsche, F.: Entschlüsselung von Emotionen aus Gehirnwellen während virtueller Achterbahnfahrten. Die Macht der Emotionen, Emotionswissen Erleben, Franckesche Stiftungen, Halle/Saale, Germany (2022)
Talk
Hofmann, S.: Sustainable deep learning models for neuroimaging. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Poster (12)

2024
Poster
Hofmann, S.; Scherf, N.; Gaebler, M.; Villringer, A.; Witte, A. V.; Beyer, F.: xai4mri – A python toolbox for explainable deep-learning-based MRI predictions. Annual Meeting of the Society for Neuroscience 2024 (SfN), Chicago, IL, USA (2024)
Poster
Hofmann, S.; Ciston, A.; Koushik, A.; Klotzsche, F.; Scherf, N.; Villringer, A.; Nikulin, V. V.; Gaebler, M.: Sampling from the cognitive face space under 3D viewing conditions. 11th MindBrainBody Symposium 2024, Berlin, Germany (2024)
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