Literature DB >> 10476964

Electrophysiological measurement of rapid shifts of attention during visual search.

G F Woodman1, S J Luck.   

Abstract

The perception of natural visual scenes that contain many objects poses computational problems that are absent when objects are perceived in isolation. Vision researchers have captured this attribute of real-world perception in the laboratory by using visual search tasks, in which subjects search for a target object in arrays containing varying numbers of non-target distractor objects. Under many conditions, the amount of time required to detect a visual search target increases as the number of objects in the stimulus array increases, and some investigators have proposed that this reflects the serial application of attention to the individual objects in the array. However, other investigators have argued that this pattern of results may instead be due to limitations in the processing capacity of a parallel processing system that identifies multiple objects concurrently. Here we attempt to address this longstanding controversy by using an electrophysiological marker of the moment-by-moment direction of attention-the N2pc component of the event-related potential waveform--to show that attention shifts rapidly among objects during visual search.

Mesh:

Year:  1999        PMID: 10476964     DOI: 10.1038/23698

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  148 in total

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Review 8.  A brief introduction to the use of event-related potentials in studies of perception and attention.

Authors:  Geoffrey F Woodman
Journal:  Atten Percept Psychophys       Date:  2010-11       Impact factor: 2.199

9.  Both memory and attention systems contribute to visual search for targets cued by implicitly learned context.

Authors:  Barry Giesbrecht; Jocelyn L Sy; Scott A Guerin
Journal:  Vision Res       Date:  2012-10-23       Impact factor: 1.886

10.  Cognitive-behavioral and electrophysiological evidence of the affective consequences of ignoring stimulus representations in working memory.

Authors:  David De Vito; Anne E Ferrey; Mark J Fenske; Naseem Al-Aidroos
Journal:  Cogn Affect Behav Neurosci       Date:  2018-06       Impact factor: 3.282

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