Literature DB >> 9677765

Transparent motion and object-based attention.

M Valdes-Sosa1, A Cobo, T Pinilla.   

Abstract

The difficulty in processing two stimuli at once increases with their separation. Therefore to demonstrate constraints in dividing attention between objects, the effects of their spatial separation must be controlled. Duncan used superimposed objects to achieve this, and showed that judging two attributes is more accurate if they concern one object than if they concern two objects (Duncan, J. 1984. Journal of Experimental Psychology: General, 113, 501-517). However, critics claim that differences in the spatial or spatial-frequency extent of attention exist between these conditions. We studied transparent motion defined by two sets of differently colored dots that were interspersed in the same region of space, and matched in spatial and spatial frequency properties. Each set moved in a distinct and randomly chosen direction. We found that simultaneous judgments of speed and direction were more accurate when they concerned only one set than when they concerned different sets. Furthermore, appraisal of the directions taken by two sets of dots is more difficult than judging direction for only one set, a difficulty that increases for briefer motion. We conclude that perceptual grouping by common fate exerted a more powerful constraint than spatial proximity, a result consistent with object-based attention. Evidence that this type of object-based attention operates at early stages of vision is examined.

Mesh:

Year:  1998        PMID: 9677765     DOI: 10.1016/s0010-0277(98)00012-2

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  12 in total

1.  Dividing attention between two transparent motion surfaces results in a failure of selective attention.

Authors:  Zachary Raymond Ernst; John Palmer; Geoffrey M Boynton
Journal:  J Vis       Date:  2012-11-12       Impact factor: 2.240

2.  Effects of task and attentional selection on responses in human visual cortex.

Authors:  Erik Runeson; Geoffrey M Boynton; Scott O Murray
Journal:  J Neurophysiol       Date:  2013-02-20       Impact factor: 2.714

3.  Object-based attention involves the sequential activation of feature-specific cortical modules.

Authors:  Mircea A Schoenfeld; Jens-Max Hopf; Christian Merkel; Hans-Jochen Heinze; Steven A Hillyard
Journal:  Nat Neurosci       Date:  2014-02-23       Impact factor: 24.884

4.  Object representation in the human auditory system.

Authors:  István Winkler; Titia L van Zuijen; Elyse Sussman; János Horváth; Risto Näätänen
Journal:  Eur J Neurosci       Date:  2006-07-12       Impact factor: 3.386

5.  Object-based attention to one of two superimposed surfaces alters responses in human early visual cortex.

Authors:  Vivian M Ciaramitaro; Jude F Mitchell; Gene R Stoner; John H Reynolds; Geoffrey M Boynton
Journal:  J Neurophysiol       Date:  2011-01-12       Impact factor: 2.714

6.  The attentional selection in visual search within short-term memory representations.

Authors:  Mircea Ariel Schoenfeld; Jens-Max Hopf
Journal:  Front Neurosci       Date:  2010-05-15       Impact factor: 4.677

7.  Task-specific engagement of object-based and space-based attention with spatiotemporally defined objects.

Authors:  Qingzi Zheng; Cathleen M Moore
Journal:  Atten Percept Psychophys       Date:  2021-01-04       Impact factor: 2.199

8.  Color improves speed of processing but not perception in a motion illusion.

Authors:  Carolyn J Perry; Mazyar Fallah
Journal:  Front Psychol       Date:  2012-03-29

Review 9.  Feature integration and object representations along the dorsal stream visual hierarchy.

Authors:  Carolyn Jeane Perry; Mazyar Fallah
Journal:  Front Comput Neurosci       Date:  2014-08-05       Impact factor: 2.380

10.  ERP measures of math anxiety: how math anxiety affects working memory and mental calculation tasks?

Authors:  Manousos A Klados; Panagiotis Simos; Sifis Micheloyannis; Daniel Margulies; Panagiotis D Bamidis
Journal:  Front Behav Neurosci       Date:  2015-10-26       Impact factor: 3.558

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