期刊
TRENDS IN COGNITIVE SCIENCES
卷 26, 期 10, 页码 860-872出版社
CELL PRESS
DOI: 10.1016/j.tics.2022.06.001
关键词
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资金
- European Research Council (ERC) [833029]
- Research Foundation Flanders (FWO) [G0F3121N]
Through visual statistical learning, attentional priority settings can optimally adjust to regularities in the environment, without intention and conscious awareness.
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 have proven to be important in the past and sup-press those that were distracting and irrelevant. Experiences molded through a learning process enable us to extract and adapt to the statistical regularities in the world. While previous studies have shown that visual statistical learning (VSL) is critical for representing higher order units of perception, here we review the role of VSL in attentional selection. Evidence suggests that through VSL, attentional priority settings are optimally adjusted to regularities in the environ-ment, without intention and without conscious awareness.
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