Research data supporting 'Border-ownership-dependent tilt aftereffect for shape defined by binocular disparity and motion parallax'
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Rideaux, R., & Harrison, W. (2019). Research data supporting 'Border-ownership-dependent tilt aftereffect for shape defined by binocular disparity and motion parallax' [Dataset]. https://doi.org/10.17863/CAM.37974
Research project description: Figure-ground segmentation is a critical function that may be supported by “border-ownership” neural systems that conditionally respond to object borders. We measured border-ownership-dependent tilt aftereffects to figures defined by motion parallax or binocular disparity and found aftereffects for both cues. These effects were transferable between cues, but selective for figure-ground depth order, suggesting that the neural systems supporting figure-ground segmentation have strict depth order selectivity and access to multiple depth cues that are jointly encoded. Data description: This dataset comprises two .mat files, one for each experiment in the project. Each file contains raw, normalized, and average bias and slope parameters for each subject/condition.
MATLAB and the Psignifit toolbox (https://github.com/wichmann-lab/psignifit/wiki) were used to analyze the data.
Vision, Figure-ground segmentation, Border-ownership, Tilt aftereffect, Depth cues
Wellcome Trust (095183/B/10/Z)
Leverhulme Trust (ECF-2017-573)
Isaac Newton Trust (17.08(o))
This record's DOI: https://doi.org/10.17863/CAM.37974