Literature DB >> 29677337

Determinants of neural responses to disparity in natural scenes.

Yiran Duan1, Alexandra Yakovleva1, Anthony M Norcia1.   

Abstract

We studied disparity-evoked responses in natural scenes using high-density electroencephalography (EEG) in an event-related design. Thirty natural scenes that mainly included outdoor settings with trees and buildings were used. Twenty-four subjects viewed a series of trials composed of sequential two-alternative temporal forced-choice presentation of two different versions (two-dimensional [2D] vs. three-dimensional [3D]) of the same scene interleaved by a scrambled image with the same power spectrum. Scenes were viewed orthostereoscopically at 3 m through a pair of shutter glasses. After each trial, participants indicated with a key press which version of the scene was 3D. Performance on the discrimination was >90%. Participants who were more accurate also tended to respond faster; scenes that were reported more accurately as 3D also led to faster reaction times. We compared visual evoked potentials elicited by scrambled, 2D, and 3D scenes using reliable component analysis to reduce dimensionality. The disparity-evoked response to natural scene stimuli, measured from the difference potential between 2D and 3D scenes, comprised a sustained relative negativity in the dominant response component. The magnitude of the disparity-specific response was correlated with the observer's stereoacuity. Scenes with more homogeneous depth maps also tended to elicit large disparity-specific responses. Finally, the magnitude of the disparity-specific response was correlated with the magnitude of the differential response between scrambled and 2D scenes, suggesting that monocular higher-order scene statistics modulate disparity-specific responses.

Entities:  

Mesh:

Year:  2018        PMID: 29677337      PMCID: PMC6097643          DOI: 10.1167/18.3.21

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


  63 in total

1.  Human cortical activity correlates with stereoscopic depth perception.

Authors:  B T Backus; D J Fleet; A J Parker; D J Heeger
Journal:  J Neurophysiol       Date:  2001-10       Impact factor: 2.714

2.  Natural stimulus statistics alter the receptive field structure of v1 neurons.

Authors:  Stephen V David; William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2004-08-04       Impact factor: 6.167

3.  Natural images dominate in binocular rivalry.

Authors:  Daniel H Baker; Erich W Graf
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4.  How to use individual differences to isolate functional organization, biology, and utility of visual functions; with illustrative proposals for stereopsis.

Authors:  Jeremy B Wilmer
Journal:  Spat Vis       Date:  2008

5.  Vergence-accommodation conflicts hinder visual performance and cause visual fatigue.

Authors:  David M Hoffman; Ahna R Girshick; Kurt Akeley; Martin S Banks
Journal:  J Vis       Date:  2008-03-28       Impact factor: 2.240

6.  Buildup of choice-predictive activity in human motor cortex during perceptual decision making.

Authors:  Tobias H Donner; Markus Siegel; Pascal Fries; Andreas K Engel
Journal:  Curr Biol       Date:  2009-09-10       Impact factor: 10.834

7.  Relations between the statistics of natural images and the response properties of cortical cells.

Authors:  D J Field
Journal:  J Opt Soc Am A       Date:  1987-12       Impact factor: 2.129

8.  From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category.

Authors:  Iris I A Groen; Sennay Ghebreab; Hielke Prins; Victor A F Lamme; H Steven Scholte
Journal:  J Neurosci       Date:  2013-11-27       Impact factor: 6.167

9.  Bringing the real world into the fMRI scanner: repetition effects for pictures versus real objects.

Authors:  Jacqueline C Snow; Charles E Pettypiece; Teresa D McAdam; Adam D McLean; Patrick W Stroman; Melvyn A Goodale; Jody C Culham
Journal:  Sci Rep       Date:  2011-10-26       Impact factor: 4.379

10.  Orienting of visuo-spatial attention in complex 3D space: Search and detection.

Authors:  Akitoshi Ogawa; Emiliano Macaluso
Journal:  Hum Brain Mapp       Date:  2015-02-17       Impact factor: 5.038

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