2017
DOI: 10.1007/s00221-017-5083-4
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Neural correlates of implicit knowledge about statistical regularities

Abstract: In this study, we examined the neural correlates of implicit knowledge about statistical regularities of temporal order and item chunks using functional magnetic resonance imaging (fMRI). In a familiarization scan, participants viewed a stream of scenes consisting of structured (i.e., three scenes were always presented in the same order) and random triplets. In the subsequent test scan, participants were required to detect a target scene. Test sequences included both forward order of scenes presented during th… Show more

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Cited by 3 publications
(4 citation statements)
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“…Two human fMRI studies that compared regular and random sequences (Turk-Browne et al, 2009;Otsuka and Saiki, 2017), as we did here, reported the opposite effect: an increased activation for the regular sequence. The reason for this discrepancy between our monkey fMRI study and the human fMRI studies is unclear, but one important factor might be the exposure duration, which was brief (i.e., during the single fMRI session) in the human studies.…”
Section: Discussioncontrasting
confidence: 40%
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“…Two human fMRI studies that compared regular and random sequences (Turk-Browne et al, 2009;Otsuka and Saiki, 2017), as we did here, reported the opposite effect: an increased activation for the regular sequence. The reason for this discrepancy between our monkey fMRI study and the human fMRI studies is unclear, but one important factor might be the exposure duration, which was brief (i.e., during the single fMRI session) in the human studies.…”
Section: Discussioncontrasting
confidence: 40%
“…Also in rodent studies of visual statistical learning, different types of differential responses were obtained in sequence learning. One study (Gavornik and Bear, 2014) found an increased electrophysiological response to predicted gratings in mouse primary visual cortex, in line with the increased BOLD activations for regular compared to random stimuli seen in higher areas in human fMRI studies (Turk-Browne et al, 2009;Otsuka and Saiki, 2017). However, a two-photon calcium imaging study reported overall weaker visual responses for predicted compared to unpredicted stimuli in the primary visual cortex (Fiser et al, 2016).…”
Section: Introductionmentioning
confidence: 75%
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“…It can thus be predicted that the supplementary motor area that supports time perception and the visual areas that support object recognition, such as the lateral occipital cortex, are engaged in VSL based on time information. Alternatively, considering the neural mechanisms of VSL (Karuza et al, 2017; Otsuka & Saiki, 2017, 2020; Schapiro et al, 2014; Schlichting et al, 2017; Sherman & Turk-Browne, 2020; Turk-Browne et al, 2009, 2010), I predict that brain regions, such as the medial temporal lobe, including the hippocampus, inferior parietal lobule, and inferior frontal gyrus, support VSL based on time information.…”
Section: Discussionmentioning
confidence: 99%