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  Integration of visual and inertial cues in the perception of angular self-motion

de Winkel, K., Soyka, F., Barnett-Cowan, M., Bülthoff, H., Groen, E., & Werkhoven, P. (2013). Integration of visual and inertial cues in the perception of angular self-motion. Experimental Brain Research, 231(2), 209-218. doi:10.1007/s00221-013-3683-1.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-12AD-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3D80-A
Genre: Journal Article

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de Winkel, KN, Author              
Soyka, Florian1, 2, Author              
Barnett-Cowan, M1, 2, Author              
Bülthoff, HH1, 2, Author              
Groen, EL, Author
Werkhoven, PJ, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The brain is able to determine angular self-motion from visual, vestibular, and kinesthetic information. There is compelling evidence that both humans and non-human primates integrate visual and inertial (i.e., vestibular and kinesthetic) information in a statistically optimal fashion when discriminating heading direction. In the present study, we investigated whether the brain also integrates information about angular self-motion in a similar manner. Eight participants performed a 2IFC task in which they discriminated yaw-rotations (2-s sinusoidal acceleration) on peak velocity. Just-noticeable differences (JNDs) were determined as a measure of precision in unimodal inertial-only and visual-only trials, as well as in bimodal visual–inertial trials. The visual stimulus was a moving stripe pattern, synchronized with the inertial motion. Peak velocity of comparison stimuli was varied relative to the standard stimulus. Individual analyses showed that data of three participants showed an increase in bimodal precision, consistent with the optimal integration model; while data from the other participants did not conform to maximum-likelihood integration schemes. We suggest that either the sensory cues were not perceived as congruent, that integration might be achieved with fixed weights, or that estimates of visual precision obtained from non-moving observers do not accurately reflect visual precision during self-motion.

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 Dates: 2013-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1007/s00221-013-3683-1
BibTex Citekey: deWinkelSBBGW2013
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Title: Experimental Brain Research
Source Genre: Journal
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Pages: - Volume / Issue: 231 (2) Sequence Number: - Start / End Page: 209 - 218 Identifier: -