Literature DB >> 28746813

Binocular Mechanisms of 3D Motion Processing.

Lawrence K Cormack1, Thaddeus B Czuba1, Jonas Knöll1, Alexander C Huk1.   

Abstract

The visual system must recover important properties of the external environment if its host is to survive. Because the retinae are effectively two-dimensional but the world is three-dimensional (3D), the patterns of stimulation both within and across the eyes must be used to infer the distal stimulus-the environment-in all three dimensions. Moreover, animals and elements in the environment move, which means the input contains rich temporal information. Here, in addition to reviewing the literature, we discuss how and why prior work has focused on purported isolated systems (e.g., stereopsis) or cues (e.g., horizontal disparity) that do not necessarily map elegantly on to the computations and complex patterns of stimulation that arise when visual systems operate within the real world. We thus also introduce the binoptic flow field (BFF) as a description of the 3D motion information available in realistic environments, which can foster the use of ecologically valid yet well-controlled stimuli. Further, it can help clarify how future studies can more directly focus on the computations and stimulus properties the visual system might use to support perception and behavior in a dynamic 3D world.

Entities:  

Keywords:  binocular; depth; disparity; geometry; motion; optic flow

Mesh:

Year:  2017        PMID: 28746813      PMCID: PMC5956901          DOI: 10.1146/annurev-vision-102016-061259

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  100 in total

1.  Motion in depth from interocular velocity differences revealed by differential motion aftereffect.

Authors:  Julian Martin Fernandez; Bart Farell
Journal:  Vision Res       Date:  2005-12-13       Impact factor: 1.886

2.  Seeing motion in depth using inter-ocular velocity differences.

Authors:  Julian Martin Fernandez; Bart Farell
Journal:  Vision Res       Date:  2005-10       Impact factor: 1.886

3.  Stereomotion suppression and the perception of speed: accuracy and precision as a function of 3D trajectory.

Authors:  Kevin R Brooks; Leland S Stone
Journal:  J Vis       Date:  2006-10-19       Impact factor: 2.240

4.  Neural population models for perception of motion in depth.

Authors:  Qiuyan Peng; Bertram E Shi
Journal:  Vision Res       Date:  2014-05-09       Impact factor: 1.886

5.  Phi movement as a subtraction process.

Authors:  S M Anstis
Journal:  Vision Res       Date:  1970-12       Impact factor: 1.886

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Authors:  T D Albright
Journal:  J Neurophysiol       Date:  1984-12       Impact factor: 2.714

7.  Phenomenal coherence of moving visual patterns.

Authors:  E H Adelson; J A Movshon
Journal:  Nature       Date:  1982-12-09       Impact factor: 49.962

8.  Neurones in cat parastriate cortex sensitive to the direction of motion in three-dimensional space.

Authors:  M Cynader; D Regan
Journal:  J Physiol       Date:  1978-01       Impact factor: 5.182

9.  On the inverse problem of binocular 3D motion perception.

Authors:  Martin Lages; Suzanne Heron
Journal:  PLoS Comput Biol       Date:  2010-11-18       Impact factor: 4.475

10.  Stereomotion processing in the human occipital cortex.

Authors:  Lora T Likova; Christopher W Tyler
Journal:  Neuroimage       Date:  2007-07-28       Impact factor: 6.556

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  11 in total

1.  Rapid assessment of natural visual motion integration across primate species.

Authors:  Miriam Spering; Hiu Mei Chow
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-22       Impact factor: 11.205

2.  Contributions of binocular and monocular cues to motion-in-depth perception.

Authors:  Lowell Thompson; Mohan Ji; Bas Rokers; Ari Rosenberg
Journal:  J Vis       Date:  2019-03-01       Impact factor: 2.240

3.  A Riemannian Geometry Theory of Three-Dimensional Binocular Visual Perception.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2018-12-05

4.  Retinal optic flow during natural locomotion.

Authors:  Jonathan Samir Matthis; Karl S Muller; Kathryn L Bonnen; Mary M Hayhoe
Journal:  PLoS Comput Biol       Date:  2022-02-22       Impact factor: 4.475

5.  Perspective Cues Make Eye-specific Contributions to 3-D Motion Perception.

Authors:  Lowell W Thompson; Byounghoon Kim; Zikang Zhu; Bas Rokers; Ari Rosenberg
Journal:  J Cogn Neurosci       Date:  2021-12-06       Impact factor: 3.225

6.  A binocular synaptic network supports interocular response alignment in visual cortical neurons.

Authors:  Benjamin Scholl; Clara Tepohl; Melissa A Ryan; Connon I Thomas; Naomi Kamasawa; David Fitzpatrick
Journal:  Neuron       Date:  2022-02-04       Impact factor: 18.688

7.  Speed change discrimination for motion in depth using constant world and retinal speeds.

Authors:  Abigail R I Lee; Justin M Ales; Julie M Harris
Journal:  PLoS One       Date:  2019-04-03       Impact factor: 3.240

8.  Eye-specific pattern-motion signals support the perception of three-dimensional motion.

Authors:  Sung Jun Joo; Devon A Greer; Lawrence K Cormack; Alexander C Huk
Journal:  J Vis       Date:  2019-04-01       Impact factor: 2.240

9.  Asymmetries between achromatic and chromatic extraction of 3D motion signals.

Authors:  Milena Kaestner; Ryan T Maloney; Kirstie H Wailes-Newson; Marina Bloj; Julie M Harris; Antony B Morland; Alex R Wade
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-17       Impact factor: 11.205

10.  Investigating Human Visual Sensitivity to Binocular Motion-in-Depth for Anti- and De-Correlated Random-Dot Stimuli.

Authors:  Martin Giesel; Alex R Wade; Marina Bloj; Julie M Harris
Journal:  Vision (Basel)       Date:  2018-11-01
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