Literature DB >> 17685802

Feature-specific interactions in salience from combined feature contrasts: evidence for a bottom-up saliency map in V1.

Ansgar R Koene1, Li Zhaoping.   

Abstract

Items that stand out from their surroundings, that is, those that attract attention, are considered to be salient. Salience is generated by input features in many stimulus dimensions, like motion (M), color (C), orientation (O), and others. We focus on bottom-up salience generated by contrast between the feature properties of an item and its surroundings. We compare the singleton search reaction times (RTs) of items that differ from their surroundings in more than one feature (e.g., C + O, denoted as CO) against the RTs of items that differ from their surroundings in only a single feature (e.g., O or C). The measured RTs for the double-feature singletons are compared against "race model" predictions to evaluate whether salience in the double-feature conditions is greater than the salience of either of its feature components. Affirmative answers were found in MO and CO but not in CM. These results are consistent with some V1 neurons being conjunctively selective to MO, others to CO, but almost none to CM. They provide support for the V1 hypothesis of bottom-up salience (Z. Li, 2002) but are contrary to expectation from the "feature summation" hypothesis, in which different stimulus features are initially analyzed independently and subsequently summed to form a single salience map (L. Itti & C. Koch, 2001; C. Koch & S. Ullman, 1985; J. M. Wolfe, K. R. Cave, & S. L. Franzel, 1989).

Mesh:

Year:  2007        PMID: 17685802     DOI: 10.1167/7.7.6

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


  31 in total

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2.  A general rule for sensory cue summation: evidence from photographic, musical, phonetic and cross-modal stimuli.

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3.  Neural activities in V1 create the bottom-up saliency map of natural scenes.

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Journal:  Exp Brain Res       Date:  2016-02-15       Impact factor: 1.972

4.  Characterizing the effects of feature salience and top-down attention in the early visual system.

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Journal:  J Neurophysiol       Date:  2017-04-05       Impact factor: 2.714

5.  Visual search for arbitrary objects in real scenes.

Authors:  Jeremy M Wolfe; George A Alvarez; Ruth Rosenholtz; Yoana I Kuzmova; Ashley M Sherman
Journal:  Atten Percept Psychophys       Date:  2011-08       Impact factor: 2.199

6.  Possible functions of contextual modulations and receptive field nonlinearities: pop-out and texture segmentation.

Authors:  Anita M Schmid; Jonathan D Victor
Journal:  Vision Res       Date:  2014-07-24       Impact factor: 1.886

7.  A model of proto-object based saliency.

Authors:  Alexander F Russell; Stefan Mihalaş; Rudiger von der Heydt; Ernst Niebur; Ralph Etienne-Cummings
Journal:  Vision Res       Date:  2013-10-31       Impact factor: 1.886

8.  Correspondence between Monkey Visual Cortices and Layers of a Saliency Map Model Based on a Deep Convolutional Neural Network for Representations of Natural Images.

Authors:  Nobuhiko Wagatsuma; Akinori Hidaka; Hiroshi Tamura
Journal:  eNeuro       Date:  2021-02-09

9.  Spatial competition on the master-saliency map.

Authors:  Ursula Schade; Cristina Meinecke
Journal:  Front Psychol       Date:  2013-07-02

10.  Salience-based selection: attentional capture by distractors less salient than the target.

Authors:  Michael Zehetleitner; Anja Isabel Koch; Harriet Goschy; Hermann Joseph Müller
Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

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