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Evaluating automatic attentional capture by self-relevant information

Evaluating automatic attentional capture by self-relevant information AbstractOur everyday decisions and memories are inadvertently influenced by self-relevant information. For example, we are faster and more accurate at making perceptual judgments about stimuli associated with ourselves, such as our own face or name, as compared with familiar non-self-relevant stimuli. Humphreys and Sui propose a “self-attention network” to account for these effects, wherein self-relevant stimuli automatically capture our attention and subsequently enhance the perceptual processing of self-relevant information. We propose that the masked priming paradigm and continuous flash suppression represent two ways to experimentally examine these controversial claims. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cognitive Neuroscience Taylor & Francis

Evaluating automatic attentional capture by self-relevant information

Cognitive Neuroscience , Volume 7 (1-4): 2 – Oct 1, 2016
25 pages

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References (7)

Publisher
Taylor & Francis
Copyright
© 2015 Taylor & Francis
ISSN
1758-8936
eISSN
1758-8928
DOI
10.1080/17588928.2015.1075486
Publisher site
See Article on Publisher Site

Abstract

AbstractOur everyday decisions and memories are inadvertently influenced by self-relevant information. For example, we are faster and more accurate at making perceptual judgments about stimuli associated with ourselves, such as our own face or name, as compared with familiar non-self-relevant stimuli. Humphreys and Sui propose a “self-attention network” to account for these effects, wherein self-relevant stimuli automatically capture our attention and subsequently enhance the perceptual processing of self-relevant information. We propose that the masked priming paradigm and continuous flash suppression represent two ways to experimentally examine these controversial claims.

Journal

Cognitive NeuroscienceTaylor & Francis

Published: Oct 1, 2016

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