Focusing attention in working and long-term memory through dissociable mechanisms.
Gong D. et al, (2025), Nat Commun, 16
Long-term memory facilitates spontaneous memory usage through multiple pathways
Kumle L. et al, (2025), Current Biology, 35, 1171 - 1179.e5
Sensorimnemonic decisions: choosing memories versus sensory information.
Kumle L. et al, (2025), Trends Cogn Sci
The past, present, and future of the brain imaging data structure (BIDS).
Poldrack RA. et al, (2024), Imaging Neurosci (Camb), 2, 1 - 19
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.
Liesefeld HR. et al, (2024), Atten Percept Psychophys
Comparing the impact of contextual associations and statistical regularities in visual search and attention orienting.
Sefranek M. et al, (2024), PLoS One, 19
Multifaceted consequences of visual distraction during natural behaviour.
Kumle L. et al, (2024), Commun Psychol, 2
Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects.
Kallmayer A. et al, (2023), J Vis, 23
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
Viewpoint-Dependence and Scene Context Effects Generalize to Depth Rotated 3D Objects
Kallmayer A. et al, (2022)
Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R
Kumle L. et al, (2021), Behavior Research Methods