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The Past, Present, and Future of the Brain Imaging Data Structure (BIDS).
Poldrack RA. et al, (2024)
Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction.
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Comparing the impact of contextual associations and statistical regularities in visual search and attention orienting.
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Multifaceted consequences of visual distraction during natural behaviour.
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Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects.
Kallmayer A. et al, (2023), J Vis, 23
Using XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding
DRASCHKOW D. et al, (2023), Policy Insights from the Behavioral and Brain Sciences
Capacity and selection in immersive visual working memory following naturalistic object disappearance.
Chawoush B. et al, (2023), J Vis, 23
Flipping the world upside down: Using eye tracking in virtual reality to study visual search in inverted scenes
Beitner J. et al, (2023), Journal of Eye Movement Research, 15
Heading Direction Tracks Internally Directed Selective Attention in Visual Working Memory.
Thom JL. et al, (2023), J Cogn Neurosci, 1 - 13
Auxiliary Scene-Context Information Provided by Anchor Objects Guides Attention and Locomotion in Natural Search Behavior (vol 33, pg 1463, 2022)
Helbing J. et al, (2023), PSYCHOLOGICAL SCIENCE
Semantic object processing is modulated by prior scene context
Krugliak A. et al, (2023), Language, Cognition and Neuroscience
Auxiliary scene context information provided by anchor objects guides attention and locomotion in natural search behavior
Helbing J. et al, (2022), Psychological Science
Remote virtual reality as a tool for increasing external validity
DRASCHKOW D., (2022), Nature Reviews Psychology
Viewpoint-Dependence and Scene Context Effects Generalize to Depth Rotated 3D Objects
Kallmayer A. et al, (2022)
Multiple spatial frames for immersive working memory
DRASCHKOW D. et al, (2021), Nature Human Behaviour
Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R
Kumle L. et al, (2021), Behavior Research Methods