Literature DB >> 27798134

Separate Perceptual and Neural Processing of Velocity- and Disparity-Based 3D Motion Signals.

Sung Jun Joo1,2,3, Thaddeus B Czuba4,2,5, Lawrence K Cormack4,2, Alexander C Huk4,2,3.   

Abstract

Although the visual system uses both velocity- and disparity-based binocular information for computing 3D motion, it is unknown whether (and how) these two signals interact. We found that these two binocular signals are processed distinctly at the levels of both cortical activity in human MT and perception. In human MT, adaptation to both velocity-based and disparity-based 3D motions demonstrated direction-selective neuroimaging responses. However, when adaptation to one cue was probed using the other cue, there was no evidence of interaction between them (i.e., there was no "cross-cue" adaptation). Analogous psychophysical measurements yielded correspondingly weak cross-cue motion aftereffects (MAEs) in the face of very strong within-cue adaptation. In a direct test of perceptual independence, adapting to opposite 3D directions generated by different binocular cues resulted in simultaneous, superimposed, opposite-direction MAEs. These findings suggest that velocity- and disparity-based 3D motion signals may both flow through area MT but constitute distinct signals and pathways. SIGNIFICANCE STATEMENT: Recent human neuroimaging and monkey electrophysiology have revealed 3D motion selectivity in area MT, which is driven by both velocity-based and disparity-based 3D motion signals. However, to elucidate the neural mechanisms by which the brain extracts 3D motion given these binocular signals, it is essential to understand how-or indeed if-these two binocular cues interact. We show that velocity-based and disparity-based signals are mostly separate at the levels of both fMRI responses in area MT and perception. Our findings suggest that the two binocular cues for 3D motion might be processed by separate specialized mechanisms.
Copyright © 2016 the authors 0270-6474/16/3610791-12$15.00/0.

Entities:  

Keywords:  3D motion; binocular vision; changing disparity; fMRI; interocular velocity difference; motion aftereffect

Mesh:

Year:  2016        PMID: 27798134      PMCID: PMC5083008          DOI: 10.1523/JNEUROSCI.1298-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  39 in total

1.  Neural correlates for perception of 3D surface orientation from texture gradient.

Authors:  Ken-Ichiro Tsutsui; Hideo Sakata; Tomoka Naganuma; Masato Taira
Journal:  Science       Date:  2002-10-11       Impact factor: 47.728

2.  Retinotopy and functional subdivision of human areas MT and MST.

Authors:  Alexander C Huk; Robert F Dougherty; David J Heeger
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

3.  Convergence of depth from texture and depth from disparity in macaque inferior temporal cortex.

Authors:  Yan Liu; Rufin Vogels; Guy A Orban
Journal:  J Neurosci       Date:  2004-04-14       Impact factor: 6.167

4.  3D shape perception from combined depth cues in human visual cortex.

Authors:  Andrew E Welchman; Arne Deubelius; Verena Conrad; Heinrich H Bülthoff; Zoe Kourtzi
Journal:  Nat Neurosci       Date:  2005-05-01       Impact factor: 24.884

5.  A neural representation of depth from motion parallax in macaque visual cortex.

Authors:  Jacob W Nadler; Dora E Angelaki; Gregory C DeAngelis
Journal:  Nature       Date:  2008-03-16       Impact factor: 49.962

6.  Area MT encodes three-dimensional motion.

Authors:  Thaddeus B Czuba; Alexander C Huk; Lawrence K Cormack; Adam Kohn
Journal:  J Neurosci       Date:  2014-11-19       Impact factor: 6.167

7.  Three-dimensional motion aftereffects reveal distinct direction-selective mechanisms for binocular processing of motion through depth.

Authors:  Thaddeus B Czuba; Bas Rokers; Kyle Guillet; Alexander C Huk; Lawrence K Cormack
Journal:  J Vis       Date:  2011-09-26       Impact factor: 2.240

8.  Interocular velocity difference contributes to stereomotion speed perception.

Authors:  Kevin R Brooks
Journal:  J Vis       Date:  2002       Impact factor: 2.240

9.  Motion perception: a color-contingent aftereffect.

Authors:  O E Favreau; V F Emerson; M C Corballis
Journal:  Science       Date:  1972-04-07       Impact factor: 47.728

Review 10.  Measurement and modeling of depth cue combination: in defense of weak fusion.

Authors:  M S Landy; L T Maloney; E B Johnston; M Young
Journal:  Vision Res       Date:  1995-02       Impact factor: 1.886

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  5 in total

1.  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

Review 2.  Binocular Mechanisms of 3D Motion Processing.

Authors:  Lawrence K Cormack; Thaddeus B Czuba; Jonas Knöll; Alexander C Huk
Journal:  Annu Rev Vis Sci       Date:  2017-07-26       Impact factor: 6.422

3.  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

4.  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

5.  Decoding Neural Responses to Motion-in-Depth Using EEG.

Authors:  Marc M Himmelberg; Federico G Segala; Ryan T Maloney; Julie M Harris; Alex R Wade
Journal:  Front Neurosci       Date:  2020-12-10       Impact factor: 4.677

  5 in total

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