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Benedikt V. Ehinger

Researcher at University of Stuttgart

Publications -  36
Citations -  760

Benedikt V. Ehinger is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Eye tracking & Computer science. The author has an hindex of 11, co-authored 29 publications receiving 440 citations. Previous affiliations of Benedikt V. Ehinger include University of Osnabrück & Radboud University Nijmegen.

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Kinesthetic and vestibular information modulate alpha activity during spatial navigation: a mobile EEG study.

TL;DR: This work developed a fully immersive virtual reality setup combined with high-density mobile electroencephalography (EEG) and detected alpha suppression during the turning movement, which is associated with a heightened demand of visuo-attentional processing and closely resembles results reported in previous stationary studies.
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A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000.

TL;DR: An extensive eye-tracking test battery is developed that offers 10 tasks that allow us to benchmark the many parameters of interest in stereotypical eye- tracking situations and addresses a common source of confounds in measurement errors.
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Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis.

TL;DR: Unfold toolbox as mentioned in this paper combines existing concepts of massive univariate modeling ("regression-ERPs"), linear deconvolution modeling, and non-linear modeling with the generalized additive model into one coherent and flexible analysis framework.
Posted ContentDOI

Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis

TL;DR: Unfold toolbox as discussed by the authors combines existing concepts of massive univariate modeling ("regression ERPs"), linear deconvolution modeling, and non-linear modeling with the generalized additive model (GAM) into one coherent and flexible analysis framework.
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Eye movements as a window to cognitive processes

TL;DR: In this article, the selection of fixation points during visual exploration can be understood to a large degree based on retinotopically structured models, and the renewal density allows the investigation of precise temporal relation of eye movements and other actions like a button press.