Dieses Bild zeigt Benedikt Ehinger

Benedikt Ehinger

Herr Jun.-Prof. Dr.

SimTech-Tenure-Track-Professur für Computational Cognitive Science
Stuttgarter Zentrum für Simulationswissenschaft (SC SimTech)
Institut für Visualisierung und Interaktive Systeme (VIS)
Abteilung Computational Cognitive Science

Kontakt

Universitätsstraße 32
70569 Stuttgart
Deutschland
Raum: 228A

Fachgebiet

  • Visuelle Kognitionswissenschaft
  • Verhaltens-, EEG- und Eye-Tracking-Experimente
  • Statistische Modellierung

In der Lehre trägt die Abteilung zusammen mit den anderen Abteilungen des Instituts zur Ausbildung in den Bachelor- und Master-Programmen im Bereich der Soziokognitive Systemen bei.
Lehrangebote von VIS
Lehrangebote am VIS in C@MPUS

2020: Tenure-Track Professur für Computational Cognitive Science am Stuttgarter Zentrum für Simulationswissenschaft (SC SimTech) und Institut für Visualisierung und Interaktive Systeme (VIS), Universität Stuttgart

2018: PostDoc im Predictive Brain Lab mit Floris de Lange, Donders Institute for Brain, Cognition and Behaviour

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

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

2012: Forschungsprojekt: Mobile EEG: Comparing Real Environments with Laboratory Settings

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

2020

Bosch, E., Fritsche M., Ehinger, B. V., De Lange, Ehinger, F. P. (2020) 'Opposite effects of choice history and stimulus history resolve a paradox of sequential choice bias', BioRxiv

Gert, A. L., Ehinger, B. V., Kietzmann T. C., Konig, P. (2020) 'Faces strongly attract early fixations in naturally sampled real-world stimulus materials', ACM Symposium on Eye Tracking Research and Applications, 1-5

2019

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

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

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. (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

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 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

2018

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

2017

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

2016

Ehinger, B. V. et al. (2016) ‘Understanding melanopsin using bayesian generative models- an Introduction’, bioRxiv. doi: 10.1101/043273. 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

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

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

2015

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

2014

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

 

Mehr Informationen zu Projekten und Forschungsthemen unter: www.benediktehinger.de

Dieses Bild zeigt Daniela  Milanese

Daniela Milanese

 

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