Literature DB >> 7996183

Transparent motion perception as detection of unbalanced motion signals. III. Modeling.

N Qian1, R A Andersen, E H Adelson.   

Abstract

In the preceding two companion articles we studied the conditions under which transparent motion perception occurs through psychophysical experiments, and investigated the underlining neural mechanisms through physiological recordings. The main finding of our perceptual experiments was that whenever a display has finely balanced motion signals in all local areas, it is perceptually nontransparent, and that transparent displays always contain motion signals in different directions that are either spatially unbalanced, or unbalanced in their disparity or spatial frequency contents. In the physiological experiments, we found two stages in the processing of transparent stimuli. The first stage is located primarily in area V1. At this stage motion measurements are made and V1 cells respond well to both the balanced, nontransparent stimuli and the unbalanced, perceptually transparent stimuli. The second stage is located primarily in area MT. MT cells show strong suppression between opposite directions of motion. The suppression for the unbalanced, transparent stimuli is significantly less than that for the balanced, nontransparent stimuli. Therefore, the activity in the second, MT stage correlates better with the perception of motion transparency than the first, V1 stage, which does not distinguish reliably between transparent and nontransparent motion. The above experiments suggest a two-stage model of motion perception with a motion measurement stage in V1 and an opponent-direction suppression stage in area MT. In this article we explicitly test this model through analysis and computer simulations, and compare the response of the model to the perceptual and physiological results using the same balanced and unbalanced stimuli we used in the experiments. In the first stage of the computational model, motion energies in different spatial frequency and disparity ranges are extracted from each local region. Similar to V1, this stage does not distinguish between the balanced and unbalanced stimuli. In the subsequent stage motion energies of opposite directions but with same spatial frequency and disparity contents suppress each other using subtractive or divisive inhibition. This stage responds significantly better to the transparent stimuli than to the nontransparent ones, in agreement with MT activity.

Mesh:

Year:  1994        PMID: 7996183      PMCID: PMC6576878     

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


  21 in total

1.  Motion opponency in visual cortex.

Authors:  D J Heeger; G M Boynton; J B Demb; E Seidemann; W T Newsome
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Neural correlates of perceptual priming of visual motion.

Authors:  Yang Jiang; Yue J Luo; Raja Parasuraman
Journal:  Brain Res Bull       Date:  2002-01-15       Impact factor: 4.077

3.  The role of V1 surround suppression in MT motion integration.

Authors:  James M G Tsui; J Nicholas Hunter; Richard T Born; Christopher C Pack
Journal:  J Neurophysiol       Date:  2010-03-24       Impact factor: 2.714

4.  Motion integration by neurons in macaque MT is local, not global.

Authors:  Najib J Majaj; Matteo Carandini; J Anthony Movshon
Journal:  J Neurosci       Date:  2007-01-10       Impact factor: 6.167

5.  Perceptual separation of transparent motion components: the interaction of motion, luminance and shape cues.

Authors:  Andrew Isaac Meso; Szonya Durant; Johannes M Zanker
Journal:  Exp Brain Res       Date:  2013-07-06       Impact factor: 1.972

6.  Neural mechanisms of speed perception: transparent motion.

Authors:  Bart Krekelberg; Richard J A van Wezel
Journal:  J Neurophysiol       Date:  2013-08-07       Impact factor: 2.714

7.  Pulfrich phenomena are coded effectively by a joint motion-disparity process.

Authors:  Ning Qian; Ralph D Freeman
Journal:  J Vis       Date:  2009-05-27       Impact factor: 2.240

8.  Optic flow processing in monkey STS: a theoretical and experimental approach.

Authors:  M Lappe; F Bremmer; M Pekel; A Thiele; K P Hoffmann
Journal:  J Neurosci       Date:  1996-10-01       Impact factor: 6.167

9.  Motion perception: from phi to omega.

Authors:  D Rose; R Blake
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1998-06-29       Impact factor: 6.237

10.  Perceptual and neural consequences of rapid motion adaptation.

Authors:  Davis M Glasser; James M G Tsui; Christopher C Pack; Duje Tadin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-27       Impact factor: 11.205

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