Literature DB >> 18217821

The roles of cortical image separation and size in active visual search performance.

Brad C Motter1, Diglio A Simoni.   

Abstract

Our previous research examined the effects of target eccentricity and global stimulus density on target detection during active visual search in monkey. Here, eye movement data collected from three human subjects on a standard single-color Ts and Ls task with varying set sizes were used to analyze the probability of target detection as a function of local stimulus density. Search performance was found to exhibit a systematic dependence on local stimulus density around the target and as a function of target eccentricity when density is calculated with respect to cortical space, in accordance with a model of the retinocortical geometrical transformation of image data onto the surface of V1. Density as measured by nearest neighbor separation and target image size as calculated from target eccentricity were found to contribute independently to search performance when measured with respect to cortical space but not with standard visual space. Density relationships to performance did not differ when target and nearest neighbor were on opposite sides of the vertical meridian, underscoring the hypothesis that such interactions were occurring within higher visual areas. The cortical separation of items appears to be the major determinant of array set size effects in active visual search.

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Year:  2007        PMID: 18217821     DOI: 10.1167/7.2.6

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


  28 in total

Review 1.  A theory of eye movements during target acquisition.

Authors:  Gregory J Zelinsky
Journal:  Psychol Rev       Date:  2008-10       Impact factor: 8.934

Review 2.  Eye movements: the past 25 years.

Authors:  Eileen Kowler
Journal:  Vision Res       Date:  2011-01-13       Impact factor: 1.886

3.  The Bouma law of crowding, revised: critical spacing is equal across parts, not objects.

Authors:  Sarah Rosen; Ramakrishna Chakravarthi; Denis G Pelli
Journal:  J Vis       Date:  2014-12-10       Impact factor: 2.240

4.  Radial-tangential anisotropy of crowding in the early visual areas.

Authors:  MiYoung Kwon; Pinglei Bao; Rachel Millin; Bosco S Tjan
Journal:  J Neurophysiol       Date:  2014-08-13       Impact factor: 2.714

5.  Extrafoveal preview benefit during free-viewing visual search in the monkey.

Authors:  B Suresh Krishna; Anna E Ipata; James W Bisley; Jacqueline Gottlieb; Michael E Goldberg
Journal:  J Vis       Date:  2014-01-08       Impact factor: 2.240

6.  Stimulus conflation and tuning selectivity in V4 neurons: a model of visual crowding.

Authors:  Brad C Motter
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

7.  Dissociable effects of visual crowding on the perception of color and motion.

Authors:  John A Greenwood; Michael J Parsons
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-19       Impact factor: 11.205

8.  Visual memory during pauses between successive saccades.

Authors:  Timothy M Gersch; Eileen Kowler; Brian S Schnitzer; Barbara A Dosher
Journal:  J Vis       Date:  2008-12-22       Impact factor: 2.240

Review 9.  The uncrowded window of object recognition.

Authors:  Denis G Pelli; Katharine A Tillman
Journal:  Nat Neurosci       Date:  2008-10       Impact factor: 24.884

10.  A neurophysiologically plausible population code model for feature integration explains visual crowding.

Authors:  Ronald van den Berg; Jos B T M Roerdink; Frans W Cornelissen
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

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