Literature DB >> 19686015

Extremely selective attention: eye-tracking studies of the dynamic allocation of attention to stimulus features in categorization.

Mark R Blair1, Marcus R Watson, R Calen Walshe, Fillip Maj.   

Abstract

Humans have an extremely flexible ability to categorize regularities in their environment, in part because of attentional systems that allow them to focus on important perceptual information. In formal theories of categorization, attention is typically modeled with weights that selectively bias the processing of stimulus features. These theories make differing predictions about the degree of flexibility with which attention can be deployed in response to stimulus properties. Results from 2 eye-tracking studies show that humans can rapidly learn to differently allocate attention to members of different categories. These results provide the first unequivocal demonstration of stimulus-responsive attention in a categorization task. Furthermore, the authors found clear temporal patterns in the shifting of attention within trials that follow from the informativeness of particular stimulus features. These data provide new insights into the attention processes involved in categorization. (c) 2009 APA, all rights reserved.

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Year:  2009        PMID: 19686015     DOI: 10.1037/a0016272

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  29 in total

1.  Featural selective attention, exemplar representation, and the inverse base-rate effect.

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2.  The relationship between attention allocation and cheating.

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3.  Neural substrates of perceptual integration during bistable object perception.

Authors:  Anastasia V Flevaris; Antigona Martínez; Steven A Hillyard
Journal:  J Vis       Date:  2013-11-18       Impact factor: 2.240

4.  Frontotemporal stimulation modulates semantically-guided visual search during confrontation naming: A combined tDCS and eye tracking investigation.

Authors:  Richard J Binney; Sameer A Ashaie; Bonnie M Zuckerman; Jinyi Hung; Jamie Reilly
Journal:  Brain Lang       Date:  2018-04-11       Impact factor: 2.381

5.  How prior knowledge affects selective attention during category learning: an eyetracking study.

Authors:  Shinwoo Kim; Bob Rehder
Journal:  Mem Cognit       Date:  2011-05

Review 6.  Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing.

Authors:  Lori L Holt; Adam T Tierney; Giada Guerra; Aeron Laffere; Frederic Dick
Journal:  Hear Res       Date:  2018-06-26       Impact factor: 3.208

Review 7.  Category learning in the brain.

Authors:  Carol A Seger; Earl K Miller
Journal:  Annu Rev Neurosci       Date:  2010       Impact factor: 12.449

8.  The influence of theoretical knowledge on similarity judgment.

Authors:  Hong-Mei Sun; Guo-En Yin
Journal:  Cogn Process       Date:  2019-09-13

9.  Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.

Authors:  Chi-Hsin Chen; Lisa Gershkoff-Stowe; Chih-Yi Wu; Hintat Cheung; Chen Yu
Journal:  Cogn Sci       Date:  2016-09-26

10.  Frontal eye field neurons signal changes in decision criteria.

Authors:  Vincent P Ferrera; Marianna Yanike; Carlos Cassanello
Journal:  Nat Neurosci       Date:  2009-10-25       Impact factor: 24.884

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