Literature DB >> 18456305

Binocular energy responses to natural images.

Paul B Hibbard1.   

Abstract

The binocular energy model provides a good description of the first stages of cortical binocular processing. Three important determinants of the responses of neurons under this model are the disparity of a stimulus, its spatial variation in disparity and its second-order luminance statistics. The influence of the latter two factors on the disparity tuning of the energy model were investigated. While each can have a significant effect on the energy response, neither presents a significant challenge when one considers the range of variation expected in natural images. The response of the energy model to natural binocular images was also investigated. The strongest responses were found for model neurons tuned to small disparities. This trend was more evident for vertical than for horizontal disparity, and flattened rapidly as image eccentricity increased. These results are predicted on the basis of simple geometrical considerations, and are reflected in both physiological and psychophysical measures of the disparity tuning of the visual system.

Mesh:

Year:  2008        PMID: 18456305     DOI: 10.1016/j.visres.2008.03.013

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


  9 in total

1.  Optimal disparity estimation in natural stereo images.

Authors:  Johannes Burge; Wilson S Geisler
Journal:  J Vis       Date:  2014-02-03       Impact factor: 2.240

2.  Depth variation and stereo processing tasks in natural scenes.

Authors:  Arvind V Iyer; Johannes Burge
Journal:  J Vis       Date:  2018-06-01       Impact factor: 2.240

3.  Image statistics determine the integration of visual cues to motion-in-depth.

Authors:  Ross Goutcher; Lauren Murray; Brooke Benz
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

4.  Uncomfortable images produce non-sparse responses in a model of primary visual cortex.

Authors:  Paul B Hibbard; Louise O'Hare
Journal:  R Soc Open Sci       Date:  2015-02-25       Impact factor: 2.963

5.  Ideal Binocular Disparity Detectors Learned Using Independent Subspace Analysis on Binocular Natural Image Pairs.

Authors:  David W Hunter; Paul B Hibbard
Journal:  PLoS One       Date:  2016-03-16       Impact factor: 3.240

6.  The effect of image position on the Independent Components of natural binocular images.

Authors:  David W Hunter; Paul B Hibbard
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

7.  Robust natural depth for anticorrelated random dot stereogram for edge stimuli, but minimal reversed depth for embedded circular stimuli, irrespective of eccentricity.

Authors:  Paul B Hibbard; Jordi M Asher
Journal:  PLoS One       Date:  2022-09-22       Impact factor: 3.752

8.  Encoding and estimation of first- and second-order binocular disparity in natural images.

Authors:  Paul B Hibbard; Ross Goutcher; David W Hunter
Journal:  Vision Res       Date:  2016-01-14       Impact factor: 1.886

9.  Natural statistics of depth edges modulate perceptual stability.

Authors:  Zeynep Basgöze; David N White; Johannes Burge; Emily A Cooper
Journal:  J Vis       Date:  2020-08-03       Impact factor: 2.240

  9 in total

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