Neural correlates of visual perceptual learning in humans indexed by event‐related potentials

Ding, Yulong; Song, Yan; Fan, Shilei; Chen, Lin

doi:10.1002/nrc.10053

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…These findings are very similar to effects found in perceptual learning experiments, which investigated the improvements of perceptual performance as a function of training (e.g.,Ding, Song, Fan, & Chen, 2003;Song, et al, 2005). Probably, habituation to the sensory input (e.g.,Ro¨sler, 1981), allocation of attentional resources (e.g.,Ahissar & Hochstein, 2000), and speeded response selection mechanisms are involved (e.g.,Rose, Verleger, & Wascher, 2001).…”

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confidence: 99%

Cognitive processes facilitated by contextual cueing: Evidence from event‐related brain potentials

Schankin

Schubö

2009

Psychophysiology

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Finding a target in repeated search displays is faster than finding the same target in novel ones (contextual cueing). It is assumed that the visual context (the arrangement of the distracting objects) is used to guide attention efficiently to the target location. Alternatively, other factors, e.g., facilitation in early visual processing or in response selection, may play a role as well. In a contextual cueing experiment, participant's electrophysiological brain activity was recorded. Participants identified the target faster and more accurately in repeatedly presented displays. In this condition, the N2pc, a component reflecting the allocation of visual-spatial attention, was enhanced, indicating that attention was allocated more efficiently to those targets. However, also response-related processes, reflected by the LRP, were facilitated, indicating that guidance of attention cannot account for the entire contextual cueing benefit.

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confidence: 99%

Cognitive processes facilitated by contextual cueing: Evidence from event‐related brain potentials

Schankin

Schubö

2009

Psychophysiology

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Section: Introductionmentioning

confidence: 99%

“…Unlike contextual learning, perceptual learning has been associated with earlier electrophysiological components, such as the posterior C1 component ( Bao et al, 2010 ; Ding, Song, Fan, & Chen, 2003 ; Pourtois, Rauss, Vuilleumer, & Schwartz, 2008 ; Reinke, He, Wang, & Alain, 2003 ; Seppänen, Hämäläinen, Pesonen, & Tervaniemi, 2012 ; Shoji & Skrandies, 2006 ; Song, Ding, Fan, Qu, Xu, Lu, & Peng, 2005 ; Song et al, 2007 ). The polarity of the C1 component varies as a function of the visual field location of the stimulus ( Ahamadi et al, 2018 ; Di Russo, Martínez, & Hillyard, 2003 ; Rauss, Pourtois, Vuilleumer, & Schwartz, 2009 ; Zhang et al, 2015 ) and generally appears positive when the stimulus is presented in the lower visual field (LVF) and negative when it appears in the upper visual field (UVF).…”

Section: Introductionmentioning

confidence: 99%

Dissociating electrophysiological correlates of contextual and perceptual learning in a visual search task

Dantec

Seitz

2020

Journal of Vision

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Perceptual learning and contextual learning are two types of implicit visual learning that can co-occur in the same tasks. For example, to find an animal in the woods, you need to know where to look in the environment (contextual learning) and you must be able to discriminate its features (perceptual learning). However, contextual and perceptual learning are typically studied using distinct experimental paradigms, and little is known regarding their comparative neural mechanisms. In this study, we investigated contextual and perceptual learning in 12 healthy adult humans as they performed the same visual search task, and we examined psychophysical and electrophysiological (event-related potentials) measures of learning. Participants were trained to look for a visual stimulus, a small line with a specific orientation, presented among distractors. We found better performance for the trained target orientation as compared to an untrained control orientation, reflecting specificity of perceptual learning for the orientation of trained elements. This orientation specificity effect was associated with changes in the C1 component. We also found better performance for repeated spatial configurations as compared to novel ones, reflecting contextual learning. This context-specific effect was associated with the N2pc component. Taken together, these results suggest that contextual and perceptual learning are distinct visual learning phenomena that have different behavioral and electrophysiological characteristics.

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Perceptual Learning Induces Persistent Attentional Capture by Nonsalient Shapes

Hillyard

Ding

2016

Cereb. Cortex

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Visual attention can be attracted automatically by salient simple features, but whether and how nonsalient complex stimuli such as shapes may capture attention in humans remains unclear. Here, we present strong electrophysiological evidence that a nonsalient shape presented among similar shapes can provoke a robust and persistent capture of attention as a consequence of extensive training in visual search (VS) for that shape. Strikingly, this attentional capture that followed perceptual learning (PL) was evident even when the trained shape was task-irrelevant, was presented outside the focus of top-down spatial attention, and was undetected by the observer. Moreover, this attentional capture persisted for at least 3-5 months after training had been terminated. This involuntary capture of attention was indexed by electrophysiological recordings of the N2pc component of the event-related brain potential, which was localized to ventral extrastriate visual cortex, and was highly predictive of stimulus-specific improvement in VS ability following PL. These findings provide the first evidence that nonsalient shapes can capture visual attention automatically following PL and challenge the prominent view that detection of feature conjunctions requires top-down focal attention.

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Neural correlates of visual perceptual learning in humans indexed by event‐related potentials

Cited by 3 publications

References 14 publications

Cognitive processes facilitated by contextual cueing: Evidence from event‐related brain potentials

Cognitive processes facilitated by contextual cueing: Evidence from event‐related brain potentials

Dissociating electrophysiological correlates of contextual and perceptual learning in a visual search task

Perceptual Learning Induces Persistent Attentional Capture by Nonsalient Shapes

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