Literature DB >> 26879771

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

Cheng Chen1,2, Xilin Zhang3, Yizhou Wang4,5, Tiangang Zhou6, Fang Fang7,8.   

Abstract

A saliency map is the bottom-up contribution to the deployment of exogenous attention. It, as well as its underlying neural mechanism, is hard to identify because of the influence of top-down signals. A recent study showed that neural activities in V1 could create a bottom-up saliency map (Zhang et al. in Neuron 73(1):183-192, 2012). In this paper, we tested whether their conclusion can generalize to complex natural scenes. In order to avoid top-down influences, each image was presented with a low contrast for only 50 ms and was followed by a high contrast mask, which rendered the whole image invisible to participants (confirmed by a forced-choice test). The Posner cueing paradigm was adopted to measure the spatial cueing effect (i.e., saliency) by an orientation discrimination task. A positive cueing effect was found, and the magnitude of the cueing effect was consistent with the saliency prediction of a computational saliency model. In a following fMRI experiment, we used the same masked natural scenes as stimuli and measured BOLD signals responding to the predicted salient region (relative to the background). We found that the BOLD signal in V1, but not in other cortical areas, could well predict the cueing effect. These results suggest that the bottom-up saliency map of natural scenes could be created in V1, providing further evidence for the V1 saliency theory (Li in Trends Cogn Sci 6(1):9-16, 2002).

Entities:  

Keywords:  Bottom-up saliency map; Natural scene; Primary visual cortex; Visual attention; fMRI

Mesh:

Year:  2016        PMID: 26879771     DOI: 10.1007/s00221-016-4583-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  44 in total

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Authors:  Zhaoping Li
Journal:  Trends Cogn Sci       Date:  2002-01-01       Impact factor: 20.229

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3.  Spatially selective representations of voluntary and stimulus-driven attentional priority in human occipital, parietal, and frontal cortex.

Authors:  John T Serences; Steven Yantis
Journal:  Cereb Cortex       Date:  2006-03-02       Impact factor: 5.357

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Authors:  Farhan Baluch; Laurent Itti
Journal:  Trends Neurosci       Date:  2011-03-23       Impact factor: 13.837

5.  Cortical networks subserving pursuit and saccadic eye movements in humans: an FMRI study.

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Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

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Authors:  C D Gilbert; T N Wiesel
Journal:  J Neurosci       Date:  1983-05       Impact factor: 6.167

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Authors:  B Luna; K R Thulborn; M H Strojwas; B J McCurtain; R A Berman; C R Genovese; J A Sweeney
Journal:  Cereb Cortex       Date:  1998 Jan-Feb       Impact factor: 5.357

10.  Efficient design of event-related fMRI experiments using M-sequences.

Authors:  Giedrius T Buracas; Geoffrey M Boynton
Journal:  Neuroimage       Date:  2002-07       Impact factor: 6.556

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Review 4.  How is visual salience computed in the brain? Insights from behaviour, neurobiology and modelling.

Authors:  Richard Veale; Ziad M Hafed; Masatoshi Yoshida
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-02       Impact factor: 6.237

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Authors:  Shiva Kamkar; Hamid Abrishami Moghaddam; Reza Lashgari
Journal:  Front Syst Neurosci       Date:  2018-10-26

6.  Value-driven attentional capture enhances distractor representations in early visual cortex.

Authors:  Sirawaj Itthipuripat; Vy A Vo; Thomas C Sprague; John T Serences
Journal:  PLoS Biol       Date:  2019-08-09       Impact factor: 8.029

7.  An EZ-Diffusion Model Analysis of Attentional Ability in Patients With Retinal Pigmentosa.

Authors:  Yan-Lin Luo; Yuan-Ying Wang; Su-Fang Zhu; Li Zhao; Yan-Ling Yin; Meng-Wen Geng; Chu-Qi Lei; Yan-Hui Yang; Jun-Fa Li; Guo-Xin Ni
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8.  Transcranial direct current stimulation (tDCS) facilitates overall visual search response times but does not interact with visual search task factors.

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