H
Hermann Wagner
Researcher at RWTH Aachen University
Publications - 189
Citations - 7330
Hermann Wagner is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Interaural time difference & Sound localization. The author has an hindex of 41, co-authored 189 publications receiving 6733 citations. Previous affiliations of Hermann Wagner include California Institute of Technology & Queen's University.
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Neuroethology of prey capture in the barn owl (Tyto alba L.)
TL;DR: Barn owls are a model system for studying prey capture and the expected easy availability of genetic techniques for specialists in the near future and the possibility to apply the findings in biomimetic devices prey capture in barn owls will remain an exciting field in the future.
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Measurement and analysis of time-domain electric field relaxation: The vitreous ionic conductor 0.4 Ca(NO3)2–0.6 KNO3
Hermann Wagner,Ranko Richert +1 more
TL;DR: In this article, the authors measured the electric modulus of the ionic conductor 0.4, 0.6, and 0.2, Ca(NO3)2-0.6 by recording the electric field relaxation E(t) under the constraints of a constant displacement D0.
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Through a barn owl’s eyes: interactions between scene content and visual attention
TL;DR: Investigation of visual attention properties of freely behaving barn owls, using a miniature wireless camera attached to their heads, revealed that during an active search task, owls repeatedly and consistently direct their gaze in a way that brings objects of interest to a specific retinal location.
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A threshold explains modulation of neural responses to opposite-contrast stereograms.
Jörg Lippert,Hermann Wagner +1 more
TL;DR: It is shown that a response hierarchy emerges in a three-layered neural network that predicts increased responses to aRDS for an identifiable sub-class of cells and can thus be tested in electrophysiological experiments.
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A temporal window for lateralization of interaural time difference by barn owls.
TL;DR: The shape of the owls' binaural temporalwindow could be described by the same algorithms as the human monaural temporal window, composed of a short time constant that determines the central part of the window, and a longer time constant That determines the shape at the skirts of thewindow.