Literature DB >> 11551067

Three-systems theory of human visual motion perception: review and update.

Z L Lu1, G Sperling.   

Abstract

Lu and Sperling [Vision Res. 35, 2697 (1995)] proposed that human visual motion perception is served by three separate motion systems: a first-order system that responds to moving luminance patterns, a second-order system that responds to moving modulations of feature types-stimuli in which the expected luminance is the same everywhere but an area of higher contrast or of flicker moves, and a third-order system that computes the motion of marked locations in a "salience map," that is, a neural representation of visual space in which the locations of important visual features ("figure") are marked and "ground" is unmarked. Subsequently, there have been some strongly confirmatory reports: different gain-control mechanisms for first- and second-order motion, selective impairment of first- versus second- and/or third-order motion by different brain injuries, and the classification of new third-order motions, e.g., isoluminant chromatic motion. Various procedures have successfully discriminated between second- and third-order motion (when first-order motion is excluded): dual tasks, second-order reversed phi, motion competition, and selective adaptation. Meanwhile, eight apparent contradictions to the three-systems theory have been proposed. A review and reanalysis here of the new evidence, pro and con, resolves the challenges and yields a more clearly defined and significantly strengthened theory.

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Year:  2001        PMID: 11551067     DOI: 10.1364/josaa.18.002331

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  66 in total

Review 1.  Aging and vision.

Authors:  Cynthia Owsley
Journal:  Vision Res       Date:  2010-10-23       Impact factor: 1.886

2.  Neural responses in motor cortex and area 7a to real and apparent motion.

Authors:  Hugo Merchant; Alexandra Battaglia-Mayer; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

3.  Reversed short-latency ocular following.

Authors:  G S Masson; D-S Yang; F A Miles
Journal:  Vision Res       Date:  2002-08       Impact factor: 1.886

4.  Motion-based prediction is sufficient to solve the aperture problem.

Authors:  Laurent U Perrinet; Guillaume S Masson
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

5.  MECHANISMS OF PERCEPTUAL LEARNING.

Authors:  Zhong-Lin Lu; Barbara Anne Dosher
Journal:  Learn Percept       Date:  2009-06-01

6.  Decoding of path-guided apparent motion from neural ensembles in posterior parietal cortex.

Authors:  Hugo Merchant; Alexandra Battaglia-Mayer; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2004-12-07       Impact factor: 1.972

7.  The initial ocular following responses elicited by apparent-motion stimuli: reversal by inter-stimulus intervals.

Authors:  B M Sheliga; K J Chen; E J FitzGibbon; F A Miles
Journal:  Vision Res       Date:  2005-10-18       Impact factor: 1.886

8.  Independent perceptual learning in monocular and binocular motion systems.

Authors:  Zhong-Lin Lu; Wilson Chu; Barbara Anne Dosher; Sophia Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-31       Impact factor: 11.205

Review 9.  Initial ocular following in humans depends critically on the fourier components of the motion stimulus.

Authors:  K J Chen; B M Sheliga; E J Fitzgibbon; F A Miles
Journal:  Ann N Y Acad Sci       Date:  2005-04       Impact factor: 5.691

10.  Efficiency of extracting stereo-driven object motions.

Authors:  Anshul Jain; Qasim Zaidi
Journal:  J Vis       Date:  2013-01-16       Impact factor: 2.240

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