Literature DB >> 28633028

Visual Perception: Neural Networks for Stereopsis.

Jenny C A Read1, Bruce G Cumming2.   

Abstract

How does our brain use differences between the images in our two eyes, binocular disparities, to generate depth perception? New work shows that a type of neural network trained on natural binocular images can learn parameters that match key properties of visual cortex. Most information is conveyed by cells which sense differences between the two eyes' images.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28633028     DOI: 10.1016/j.cub.2017.05.013

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  5 in total

1.  The psychophysics of stereopsis can be explained without invoking independent ON and OFF channels.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  J Vis       Date:  2019-06-03       Impact factor: 2.240

2.  Interocular correlation sensitivity and its relationship with stereopsis.

Authors:  Alexandre Reynaud; Robert F Hess
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

3.  Determinants of neural responses to disparity in natural scenes.

Authors:  Yiran Duan; Alexandra Yakovleva; Anthony M Norcia
Journal:  J Vis       Date:  2018-03-01       Impact factor: 2.240

4.  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

5.  Detection of Static and Dynamic Stereopsis after Femtosecond Laser Small Incision Lenticule Extraction for High Myopia.

Authors:  Aiqun Xiang; Chu Hang; Xiaoying Wu; Yewei Yin; Yanyan Fu; Ying Lu; Kaixuan Du; Tu Hu; Li Yan; Dan Wen
Journal:  J Ophthalmol       Date:  2021-06-11       Impact factor: 1.909

  5 in total

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