Literature DB >> 20837042

Situating visual search.

Ken Nakayama1, Paolo Martini.   

Abstract

Visual search attracted great interest because its ease under certain circumstances seemed to provide a way to understand how properties of early visual cortical areas could explain complex perception without resorting to higher order psychological or neurophysiological mechanisms. Furthermore, there was the hope that properties of visual search itself might even reveal new cortical features or dimensions. The shortcomings of this perspective suggest that we abandon fixed canonical elementary particles of vision as well as a corresponding simple to complex cognitive architecture for vision. Instead recent research has suggested a different organization of the visual brain with putative high level processing occurring very rapidly and often unconsciously. Given this outlook, we reconsider visual search under the broad category of recognition tasks, each having different trade-offs for computational resources, between detail and scope. We conclude noting recent trends showing how visual search is relevant to a wider range of issues in cognitive science, in particular to memory, decision making, and reward.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20837042     DOI: 10.1016/j.visres.2010.09.003

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  42 in total

1.  Improvement in visual search with practice: mapping learning-related changes in neurocognitive stages of processing.

Authors:  Kait Clark; L Gregory Appelbaum; Berry van den Berg; Stephen R Mitroff; Marty G Woldorff
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

2.  The effects of task difficulty on visual search strategy in virtual 3D displays.

Authors:  Marc Pomplun; Tyler W Garaas; Marisa Carrasco
Journal:  J Vis       Date:  2013-08-28       Impact factor: 2.240

3.  Modeling guidance and recognition in categorical search: bridging human and computer object detection.

Authors:  Gregory J Zelinsky; Yifan Peng; Alexander C Berg; Dimitris Samaras
Journal:  J Vis       Date:  2013-10-08       Impact factor: 2.240

Review 4.  Visual attention: the past 25 years.

Authors:  Marisa Carrasco
Journal:  Vision Res       Date:  2011-04-28       Impact factor: 1.886

5.  Influence of scene structure and content on visual search strategies.

Authors:  Tatiana A Amor; Mirko Luković; Hans J Herrmann; José S Andrade
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

6.  Differential brain mechanisms for processing distracting information in task-relevant and -irrelevant dimensions in visual search.

Authors:  Ping Wei; Hongbo Yu; Hermann J Müller; Stefan Pollmann; Xiaolin Zhou
Journal:  Hum Brain Mapp       Date:  2018-09-05       Impact factor: 5.038

7.  Selection history is relative.

Authors:  Ming-Ray Liao; Mark K Britton; Brian A Anderson
Journal:  Vision Res       Date:  2020-07-11       Impact factor: 1.886

8.  Visual search for object categories is predicted by the representational architecture of high-level visual cortex.

Authors:  Michael A Cohen; George A Alvarez; Ken Nakayama; Talia Konkle
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

Review 9.  Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence.

Authors:  Katharina Anton-Erxleben; Marisa Carrasco
Journal:  Nat Rev Neurosci       Date:  2013-03       Impact factor: 34.870

10.  Adaptation improves performance on a visual search task.

Authors:  Stephanie C Wissig; Carlyn A Patterson; Adam Kohn
Journal:  J Vis       Date:  2013-02-06       Impact factor: 2.240

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