Hello,

My name is Benedikt Ehinger. I’m a PostDoc at the Predictive Brain Lab at the Donders Institute, Nijmegen

Send me a message: science@benediktehinger.de

My studies and interests involve cognitive psychology, visual perception, categorization and cortocortical interactions. I am working with: M/EEG, Bayesian statistics, eye tracking and starting out with layer fMRI!


Education

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.

Publications

Dimigen, O. and Ehinger, B. V. (2019) ‘Analyzing combined eye-tracking/EEG experiments with (non)linear deconvolution models’, BioRxiv. doi: https://doi.org/10.1101/735530. Cite Download
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 Download
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 Download
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 Download
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 Download
Ehinger, B. V. and Dimigen, O. (2019) ‘Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis’, biorXiv. doi: 10.1101/360156. Cite Download
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 Download
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 Download
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 Download
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 Download
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 Download
Ehinger, B. V. et al. (2016) ‘Understanding melanopsin using bayesian generative models- an Introduction’, bioRxiv. doi: 10.1101/043273. Cite Download
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 Download
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 Download

Courses

2019 (single Lecture) Introduction to ERP analysis (EEG)
2019 (Workshop)
Statistics (Linear Model) & Deconvolution
2018
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
2012
Basic and Advanced MatLab Exercises in Data Analysis