Investigating neural mechanisms underlying bias towards statistical regularities
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2022-08-29
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en
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Abstract
The world is highly regular. Humans are particularly skilled in extracting and learning these
regularities to subsequently use them to their benefit. Previous research has shown that
regularities themselves seem to draw attention facilitating the statistical learning process. The
present study investigated the neural mechanisms behind such an attentional bias using rapid
invisible frequency tagging (RIFT). Participants watched two rapidly presented streams of
images (one structured, one random) which were tagged at different frequencies. Statistical
learning was assessed using both behavioral measures as well as an online frequency tagging
measure. Participants did not show an attentional bias towards structure and there was no
indication of statistical learning at the neural level nor in the behavioral data showing that
attention is necessary but not sufficient for learning to take place.
Keywords:
Statistical learning, Rapid Invisible Frequency tagging, attentional capture, spatial attention
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Faculteit der Sociale Wetenschappen