Literature DB >> 15066388

"Pop-out" of targets modulated in luminance or colour: the effect of intrinsic and extrinsic uncertainty.

Stefano Baldassi1, David C Burr.   

Abstract

Targets defined by attributes such as colour or brightness are said to "pop-out" from a cluttered scene, with little or no dependency on the size of the set to be searched, while search for other attributes can depend strongly on set-size. We measured contrast thresholds for increments and decrements in luminance or colour and show that they increase strongly with set-size (as previously observed for orientation). However, in some conditions, where the potential distractors were not salient visual targets, there was no dependency of set-size at all ("pop-out"). All the data can be modelled by assuming two main sources of uncertainty: the intrinsic uncertainty due to the number of detectors monitored during a specific task and the extrinsic uncertainty introduced by increasing the number of items displayed. The strength of the effect is well explained by a simple signal detection theory "signed-max" model suited for two-tailed tasks [Journal of Vision 2 (8), 559]. The results suggest that "pop-out" is not peculiar to luminance or colour, but may occur in conditions when the intrinsic uncertainty is so high as to saturate the effects of further uncertainty sources.

Mesh:

Year:  2004        PMID: 15066388     DOI: 10.1016/j.visres.2003.12.018

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


  5 in total

1.  On-line processing of uncertain information in visuomotor control.

Authors:  Jun Izawa; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-10-29       Impact factor: 6.167

2.  Chromaticity in the UV/blue range facilitates the search for achromatically background-matching prey in birds.

Authors:  Nina Stobbe; Marina Dimitrova; Sami Merilaita; H Martin Schaefer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-02-27       Impact factor: 6.237

3.  Relating spatial and temporal orientation pooling to population decoding solutions in human vision.

Authors:  Ben S Webb; Timothy Ledgeway; Paul V McGraw
Journal:  Vision Res       Date:  2010-05-04       Impact factor: 1.886

4.  Attention in a bayesian framework.

Authors:  Louise Whiteley; Maneesh Sahani
Journal:  Front Hum Neurosci       Date:  2012-06-14       Impact factor: 3.169

5.  Visual clutter causes high-magnitude errors.

Authors:  Stefano Baldassi; Nicola Megna; David C Burr
Journal:  PLoS Biol       Date:  2006-02-28       Impact factor: 8.029

  5 in total

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