Ole Goltermann
Doctoral Candidate
Academic education
since 2021 Doctoral candidate, Max Planck School of Cognition, Leipzig, Germany
Doctoral research performed at University Medical Center Hamburg-Eppendorf
Betreuer: Christian Büchel
Lab rotations in the orientation year: Veronica Witte & Arno Villringer, Simon E. Fisher, and Christian Büchel
2019–2021 Master of Science in Psychology (Mind & Brain track), University of Vienna, Austria
2015–2018 Bachelor of Science in Psychology, University of Vienna, Austria
2012–2015 Bachelor of Arts in Business Administration & Dual Study Programme at Robert Bosch GmbH in Germany (Hanover, Stuttgart, & Hildesheim) & Malaysia (Penang)
Teaching
2019–2021 Statistical advice on personal website: Free (Donation-based, Sea-Watch e.V.) statistical and methodological advice for bachelor and master theses in psychology
2018–2021 Teaching assistant, Department of Social Psychology, University of Vienna, Austria
2017–2018 Student Advisor, Faculty of Psychology, University of Vienna, Austria
Scholarships
2016–2020 Merit-based Scholarship Grant of the Austrian Government
2017–2020 Merit-based Scholarship Grant for Disabled Students, University of Vienna, Austria
Publications
Hofmann, S. M., Beyer, F., Lapuschkin, S., Goltermann, O., Loeffler, M., Müller, K.-R., Villringer, A., Samek, W., & Witte, A. V. (2022). Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage, 261, 119504. doi:10.1016/j.neuroimage.2022.119504
Hofmann, S. M., Beyer, F., Lapuschkin, S., Goltermann, O., Loeffler, M., Müller, K.-R., Villringer, A., Samek, W., & Witte, A. V. (2021). Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. Preprint published on bioRxiv.
Büsel, C., Sachse, P., Goltermann, O., & Ansorge, U. (2020). Sense and sensitivity – Using spatial response-compatibility effects to investigate ambiguous word meaning. Experimental Psychology, 67(6), 327–334.
Poster presentations and talks
Bayramova, R.*, Goltermann, O.*, Enk, L., Hinrichs, M. A. B., Kamp, F., Serio, B., & Hofmann, S. (2022). Explainable AI for higher cognitive functions: How to provide explanations in the face of increasing complexity. Talk given at 22nd Conference of the European Society for Cognitive Psychology, Lille, France.
Goltermann, O.*, Bayramova, R.* (2022). Explainable AI for modelling cognition. Talk given at Cognitive Computational Neuroscience Unification Trial, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Goltermann O.*, Bayramova, R.*, Enk, L., Hinrichs, M. A. B., Kamp, F., Serio, B., & Hofmann, S. (2022). Explainable AI for higher cognitive functions: How to provide explanations in the face of increasing complexity. Flash talk given at Neuromatch conference, online.
Goltermann, O.*, Hofmann, S. M.*, Villringer, A., Witte, A. V., & Beyer, F. (2022). Deep neural networks interpret white matter lesions as a signature of higher-brain-age. Poster presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2022, Glasgow, Scotland.
Goltermann, O.*, Hofmann, S. M.*, Villringer, A., Witte, A. V., & Beyer, F. (2022). Deep neural networks interpret white matter lesions as a signature of higher-brain-age. Poster presented at 11th IMPRS NeuroCom Summer School, Leipzig, Germany.
Goltermann, O. (2020). Computational modelling of social learning and social influence using ML algorithms of Reinforcement Learning. Talk presented at the Colloquium Series for Social Psychology, University of Hildesheim, Germany.
* shared first authorship