What to expect where and when: How statistical learning drives visual selection

J Theeuwes, L Bogaerts, D van Moorselaar - Trends in cognitive sciences, 2022 - cell.com
While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

Goal-driven, stimulus-driven, and history-driven selection

J Theeuwes - Current opinion in psychology, 2019 - Elsevier
Highlights•Lingering biases of previous selection episodes play a major role in attentional
selection.•Statistical learning of the environmental regularities biases attentional …

Keeping it real: Looking beyond capacity limits in visual cognition

Á Kristjánsson, D Draschkow - Attention, Perception, & Psychophysics, 2021 - Springer
Research within visual cognition has made tremendous strides in uncovering the basic
operating characteristics of the visual system by reducing the complexity of natural vision to …

[HTML][HTML] Statistical learning in the absence of explicit top-down attention

D Duncan, J Theeuwes - Cortex, 2020 - Elsevier
Recently it has been shown that statistical learning of regularities presented in a display can
bias attentional selection, such that attentional capture by salient objects is reduced by …

Selection history: How reward modulates selectivity of visual attention

M Failing, J Theeuwes - Psychonomic bulletin & review, 2018 - Springer
Visual attention enables us to selectively prioritize or suppress information in the
environment. Prominent models concerned with the control of visual attention differentiate …

Statistical learning and its consequences

NB Turk-Browne - The influence of attention, learning, and motivation on …, 2012 - Springer
Statistical learning refers to an unconscious cognitive process in which repeated patterns, or
regularities, are extracted from the sensory environment. In this chapter, I describe what is …

Role of attention and perceptual grouping in visual statistical learning

CI Baker, CR Olson, M Behrmann - Psychological science, 2004 - journals.sagepub.com
Statistical learning has been widely proposed as a mechanism by which observers learn to
decompose complex sensory scenes. To determine how robust statistical learning is, we …

Altering spatial priority maps via statistical learning of target selection and distractor filtering

O Ferrante, A Patacca, V Di Caro, C Della Libera… - Cortex, 2018 - Elsevier
The cognitive system has the capacity to learn and make use of environmental regularities–
known as statistical learning (SL), including for the implicit guidance of attention. For …

Flexible visual statistical learning: transfer across space and time.

NB Turk-Browne, BJ Scholl - Journal of Experimental Psychology …, 2009 - psycnet.apa.org
The environment contains considerable information that is distributed across space and
time, and the visual system is remarkably sensitive to such information via the operation of …

Neural evidence of statistical learning: Efficient detection of visual regularities without awareness

NB Turk-Browne, BJ Scholl, MM Chun… - Journal of cognitive …, 2009 - ieeexplore.ieee.org
Our environment contains regularities distributed in space and time that can be detected by
way of statistical learning. This unsupervised learning occurs without intent or awareness …