Literature DB >> 21824980

Crowding is tuned for perceived (not physical) location.

Steven C Dakin1, John A Greenwood, Thomas A Carlson, Peter J Bex.   

Abstract

In the peripheral visual field, nearby objects can make one another difficult to recognize (crowding) in a manner that critically depends on their separation. We manipulated the apparent separation of objects using the illusory shifts in perceived location that arise from local motion to determine if crowding depends on physical or perceived location. Flickering Gabor targets displayed between either flickering or drifting flankers were used to (a) quantify the perceived target-flanker separation and (b) measure discrimination of the target orientation or spatial frequency as a function of physical target-flanker separation. Relative to performance with flickering targets, we find that flankers drifting away from the target improve discrimination, while those drifting toward the target degrade it. When plotted as a function of perceived separation across conditions, the data collapse onto a single function indicating that it is perceived and not physical location that determines the magnitude of visual crowding. There was no measurable spatial distortion of the target that could explain the effects. This suggests that crowding operates predominantly in extrastriate visual cortex and not in early visual areas where the response of neurons is retinotopically aligned with the physical position of a stimulus.

Entities:  

Mesh:

Year:  2011        PMID: 21824980      PMCID: PMC3627388          DOI: 10.1167/11.9.2

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  62 in total

1.  Limits of attentive tracking reveal temporal properties of attention.

Authors:  F A Verstraten; P Cavanagh; A T Labianca
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  Suppressive and facilitatory spatial interactions in peripheral vision: peripheral crowding is neither size invariant nor simple contrast masking.

Authors:  Dennis M Levi; Srividhya Hariharan; Stanley A Klein
Journal:  J Vis       Date:  2002       Impact factor: 2.240

3.  The extent of crowding in peripheral vision does not scale with target size.

Authors:  Srimant P Tripathy; Patrick Cavanagh
Journal:  Vision Res       Date:  2002-09       Impact factor: 1.886

Review 4.  Improbable areas in the visual brain.

Authors:  S Zeki
Journal:  Trends Neurosci       Date:  2003-01       Impact factor: 13.837

5.  Motion-sensitive neurones in V5/MT modulate perceived spatial position.

Authors:  Paul V McGraw; Vincent Walsh; Brendan T Barrett
Journal:  Curr Biol       Date:  2004-06-22       Impact factor: 10.834

6.  Temporal properties of the polarity advantage effect in crowding.

Authors:  Ramakrishna Chakravarthi; Patrick Cavanagh
Journal:  J Vis       Date:  2007-03-27       Impact factor: 2.240

7.  Attentional modulation of crowding.

Authors:  Isabelle Mareschal; Michael J Morgan; Joshua A Solomon
Journal:  Vision Res       Date:  2010-02-01       Impact factor: 1.886

8.  Probabilistic, positional averaging predicts object-level crowding effects with letter-like stimuli.

Authors:  Steven C Dakin; John Cass; John A Greenwood; Peter J Bex
Journal:  J Vis       Date:  2010-08-01       Impact factor: 2.240

9.  Central V4 receptive fields are scaled by the V1 cortical magnification and correspond to a constant-sized sampling of the V1 surface.

Authors:  Brad C Motter
Journal:  J Neurosci       Date:  2009-05-06       Impact factor: 6.167

10.  Does Area V3A Predict Positions of Moving Objects?

Authors:  Gerrit W Maus; Sarah Weigelt; Romi Nijhawan; Lars Muckli
Journal:  Front Psychol       Date:  2010-11-12
View more
  15 in total

1.  Visual crowding in V1.

Authors:  Rachel Millin; A Cyrus Arman; Susana T L Chung; Bosco S Tjan
Journal:  Cereb Cortex       Date:  2013-07-05       Impact factor: 5.357

2.  Crowding, grouping, and object recognition: A matter of appearance.

Authors:  Michael H Herzog; Bilge Sayim; Vitaly Chicherov; Mauro Manassi
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  Integrating retinotopic features in spatiotopic coordinates.

Authors:  William J Harrison; Peter J Bex
Journal:  J Neurosci       Date:  2014-05-21       Impact factor: 6.167

4.  The edge of awareness: Mask spatial density, but not color, determines optimal temporal frequency for continuous flash suppression.

Authors:  Jan Drewes; Weina Zhu; David Melcher
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

5.  Crowding follows the binding of relative position and orientation.

Authors:  John A Greenwood; Peter J Bex; Steven C Dakin
Journal:  J Vis       Date:  2012-03-21       Impact factor: 2.240

6.  Unmasking saccadic uncrowding.

Authors:  Mehmet N Ağaoğlu; Haluk Öğmen; Susana T L Chung
Journal:  Vision Res       Date:  2016-09-02       Impact factor: 1.886

7.  Visual crowding is unaffected by adaptation-induced spatial compression.

Authors:  Alison Chambers; Alan Johnston; Neil W Roach
Journal:  J Vis       Date:  2018-03-01       Impact factor: 2.240

8.  Psychophysical contrast calibration.

Authors:  Long To; Russell L Woods; Robert B Goldstein; Eli Peli
Journal:  Vision Res       Date:  2013-04-30       Impact factor: 1.886

9.  Variations in crowding, saccadic precision, and spatial localization reveal the shared topology of spatial vision.

Authors:  John A Greenwood; Martin Szinte; Bilge Sayim; Patrick Cavanagh
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-10       Impact factor: 11.205

10.  Perceived positions determine crowding.

Authors:  Gerrit W Maus; Jason Fischer; David Whitney
Journal:  PLoS One       Date:  2011-05-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.