My name is Benedikt Ehinger. I’m a Tenure-Track Professor for Computational Cognitive Sciences at the SimTech and VIS at University of Stuttgart

Send me a message: science@benediktehinger.de

My studies and interests involve cognitive psychology, visual perception, categorization and cortocortical interactions. I am working with EEG, Bayesian statistics, eye tracking and slowly diving into VR/mobile EEG.


2018: Doktor rer. nat. / PhD Cognitive Science .
PhD Thesis Predictions, Decisions and Learning in the visual sense

2013: Master of Science in Cognitive Science.
Masterthesis „Filling in Blind-Spots: A psychophysical and an EEG study.“

2012: Research-Project: Mobile EEG: Comparing Real Environments with Laboratory Settings

2011: Bachelor of Science in Cogntive Science
Bachelorthesis: „Electrophysiological Correlates of Category Learning

2010: Abroad at Norwegian University of Technology, Trondheim.


Pavlov, Y. G. et al. (2021) ‘#EEGManyLabs: Investigating the replicability of influential EEG experiments’, Cortex. doi: 10.1016/j.cortex.2021.03.013. Cite
Czeszumski, A. et al. (2021) ‘Coordinating With a Robot Partner Affects Action Monitoring Related Neural Processing’, bioRxiv, p. 2021.03.26.437133. doi: 10.1101/2021.03.26.437133. Cite
Dimigen, O. and Ehinger, B. V. (2021) ‘Regression-based analysis of combined EEG and eye-tracking data: Theory and applications’, Journal of Vision, 21(1), pp. 3–3. doi: 10.1167/jov.21.1.3. Cite
Gert, A. L. et al. (2020) ‘Faces strongly attract early fixations in naturally sampled real-world stimulus materials’, in ACM Symposium on Eye Tracking Research and Applications. New York, NY, USA: Association for Computing Machinery (ETRA ’20 Short Papers), pp. 1–5. doi: 10.1145/3379156.3391377. Cite
Bosch, E. et al. (2020) ‘Opposite effects of choice history and stimulus history resolve a paradox of sequential choice bias’, Journal of Vision, p. 2020.02.14.948919. doi: (accepted). Cite
Heilbron, M. et al. (2019) ‘Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models’, arXiv:1909.04400 [q-bio]. doi: 10.32470/CCN.2019.1096-0. Cite
Ehinger, B. V. et al. (2019) ‘A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000’, PeerJ, 7, p. e7086. doi: 10.7717/peerj.7086. Cite
Ehinger, B. V. (2019) ‘Unmixed: Linear Mixed Models combined with Overlap Correction for M/EEG analyses. An Extension to the unfold Toolbox’, in 2019 Conference on Cognitive Computational Neuroscience. 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany: Cognitive Computational Neuroscience. doi: 10.32470/CCN.2019.1102-0. Cite
Ehinger, B. V. and Dimigen, O. (2019) ‘Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis’, peerJ. doi: https://doi.org/10.7717/peerj.7838. Cite
Sütfeld, L. R. et al. (2019) ‘How does the method change what we measure? Comparing virtual reality and text-based surveys for the assessment of moral decisions in traffic dilemmas’. doi: 10.31234/osf.io/h2z7p. Cite
Czeszumski, A. et al. (2019) ‘The Social Situation Affects How We Process Feedback About Our Actions’, Frontiers in Psychology, 10. doi: 10.3389/fpsyg.2019.00361. Cite
Ehinger, B. V., Kaufhold, L. and König, P. (2018) ‘Probing the temporal dynamics of the exploration–exploitation dilemma of eye movements’, Journal of Vision, 18(3), pp. 6–6. doi: 10.1167/18.3.6. Cite
Ehinger, B. V. (2018) EEGVIS Toolbox. doi: 10.5281/zenodo.1312813. Cite
Ehinger, B. V. et al. (2017) ‘Humans treat unreliable filled-in percepts as more real than veridical ones’, eLife. Edited by P. Latham, 6, p. e21761. doi: 10.7554/eLife.21761. Cite
Kietzmann, T. C. et al. (2016) ‘Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity’, NeuroImage, 134, pp. 22–34. doi: 10.1016/j.neuroimage.2016.03.066. Cite
Spoida, K. et al. (2016) ‘Melanopsin Variants as Intrinsic Optogenetic On and Off Switches for Transient versus Sustained Activation of G Protein Pathways’, Current Biology, 26(9), pp. 1206–1212. doi: 10.1016/j.cub.2016.03.007. Cite
König, P. et al. (2016) ‘Eye movements as a window to cognitive processes’, Journal of Eye Movement Research, 9, pp. 1–16. doi: https://bop.unibe.ch/index.php/jemr/article/view/3383. Cite
Ehinger, B. V. et al. (2016) ‘Understanding melanopsin using bayesian generative models- an Introduction’, bioRxiv. doi: 10.1101/043273. Cite
Ehinger, B. V., König, P. and Ossandón, J. P. (2015) ‘Predictions of Visual Content across Eye Movements and Their Modulation by Inferred Information’, Journal of Neuroscience, 35(19), pp. 7403–7413. doi: 10.1523/JNEUROSCI.5114-14.2015. Cite
Ehinger, B. V. et al. (2014) ‘Kinesthetic and vestibular information modulate alpha activity during spatial navigation: a mobile EEG study’, Frontiers in Human Neuroscience, 8. doi: 10.3389/fnhum.2014.00071. Cite


2019 (single Lecture) Introduction to ERP analysis (EEG)
2019 (Workshop)
Statistics (Linear Model) & Deconvolution
Statistical rethinking
2018 Applied Generalized Linear Mixed Models
2017 Generalized Linear Mixed Models
2017 (Workshop) Combined EEG/Eyetracking at the ECEM
2016 Bayesian Data Analysis
2015 Advanced Methods for M/EEG Data Analysis
2013 Basic and Advanced MatLab Exercises in Data Analysis
Basic and Advanced MatLab Exercises in Data Analysis