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 …
decompose complex sensory scenes. To determine how robust statistical learning is, we …
Visual statistical learning is not reliably modulated by selective attention to isolated events
Recent studies of visual statistical learning (VSL) have indicated that the visual system can
automatically extract the temporal and spatial relationships between objects. We report …
automatically extract the temporal and spatial relationships between objects. We report …
Multidimensional visual statistical learning.
Recent studies of visual statistical learning (VSL) have demonstrated that statistical
regularities in sequences of visual stimuli can be automatically extracted, even without intent …
regularities in sequences of visual stimuli can be automatically extracted, even without intent …
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 …
time, and the visual system is remarkably sensitive to such information via the operation of …
The automaticity of visual statistical learning.
NB Turk-Browne, JA Jungé… - Journal of Experimental …, 2005 - psycnet.apa.org
The visual environment contains massive amounts of information involving the relations
between objects in space and time, and recent studies of visual statistical learning (VSL) …
between objects in space and time, and recent studies of visual statistical learning (VSL) …
How implicit is visual statistical learning?
In visual statistical learning, participants learn the statistical regularities present in a
sequence of visual shapes. A recent study (Kim, Seitz, Feenstra, & Shams, 2009) suggests …
sequence of visual shapes. A recent study (Kim, Seitz, Feenstra, & Shams, 2009) suggests …
Distinct contributions of attention and working memory to visual statistical learning and ensemble processing.
The brain exploits redundancies in the environment to efficiently represent the complexity of
the visual world. One example of this is ensemble processing, which provides a statistical …
the visual world. One example of this is ensemble processing, which provides a statistical …
Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities
What determines individuals' efficacy in detecting regularities in visual statistical learning?
Our theoretical starting point assumes that the variance in performance of statistical learning …
Our theoretical starting point assumes that the variance in performance of statistical learning …
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 …
regularities, are extracted from the sensory environment. In this chapter, I describe what is …
The role of cross-modal associations in statistical learning
A Glicksohn, A Cohen - Psychonomic Bulletin & Review, 2013 - Springer
Our environment is richly structured, with objects producing correlated information within
and across sensory modalities. A prominent challenge faced by our perceptual system is to …
and across sensory modalities. A prominent challenge faced by our perceptual system is to …