caa a22 4500 445352914 CHVBK 20180317142850.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s00221-010-2523-9 doi (NATIONALLICENCE)springer-10.1007/s00221-010-2523-9 Predicting direction detection thresholds for arbitrary translational acceleration profiles in the horizontal plane [Elektronische Daten] [Florian Soyka, Paolo Robuffo Giordano, Karl Beykirch, Heinrich Bülthoff] In previous research, direction detection thresholds have been measured and successfully modeled by exposing participants to sinusoidal acceleration profiles of different durations. In this paper, we present measurements that reveal differences in thresholds depending not only on the duration of the profile, but also on the actual time course of the acceleration. The measurements are further explained by a model based on a transfer function, which is able to predict direction detection thresholds for all types of acceleration profiles. In order to quantify a participant's ability to detect the direction of motion in the horizontal plane, a four-alternative forced-choice task was implemented. Three types of acceleration profiles (sinusoidal, trapezoidal and triangular) were tested for three different durations (1.5, 2.36 and 5.86s). To the best of our knowledge, this is the first study which varies both quantities (profile and duration) in a systematic way within a single experiment. The lowest thresholds were found for trapezoidal profiles and the highest for triangular profiles. Simulations for frequencies lower than the ones actually measured predict a change from this behavior: Sinusoidal profiles are predicted to yield the highest thresholds at low frequencies. This qualitative prediction is only possible with a model that is able to predict thresholds for different types of acceleration profiles. Our modeling approach represents an important advancement, because it allows for a more general and accurate description of perceptual thresholds for simple and complex translational motions. The Author(s), 2011 Vestibular nationallicence Psychophysics nationallicence Otolith nationallicence Threshold nationallicence Model nationallicence Self-Motion nationallicence Transfer function nationallicence Soyka Florian Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut Robuffo Giordano Paolo Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut Beykirch Karl Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut Bülthoff Heinrich Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut Experimental Brain Research Springer-Verlag 209/1(2011-03-01), 95-107 0014-4819 209:1<95 2011 209 221 https://doi.org/10.1007/s00221-010-2523-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-010-2523-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Soyka Florian Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut NATIONALLICENCE 700 1- Robuffo Giordano Paolo Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut NATIONALLICENCE 700 1- Beykirch Karl Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut NATIONALLICENCE 700 1- Bülthoff Heinrich Department of Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 209/1(2011-03-01), 95-107 0014-4819 209:1<95 2011 209 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer