Literature DB >> 1880548

The response of area MT and V1 neurons to transparent motion.

R J Snowden1, S Treue, R G Erickson, R A Andersen.   

Abstract

An important use of motion information is to segment a complex visual scene into surfaces and objects. Transparent motions present a particularly difficult problem for segmentation because more than one velocity vector occurs at each local region in the image, and current machine vision systems fail in these circumstances. The fact that motion transparency is prevalent in natural scenes, and yet artificial systems display an inability to analyze it, suggests that the primate visual system has developed specialized methods for perceiving transparent motion. Also, the currently prevalent model of physiological mechanisms for motion-direction selectivity employs inhibitory interactions between neurons; such interactions would silence neurons under transparent conditions and render the visual system blind to transparent motion. To examine how the primate visual system solves this transparency problem, we recorded the activity of direction-selective cells in the first (area V1) and in a later (area MT) stage in the cortical motion-processing pathway in behaving monkeys. The visual stimuli consisted of random dot patterns forming single moving surfaces, transparent surfaces, and motion discontinuities. We found that area V1 cells responded to their preferred direction of movement even under transparent conditions, whereas area MT cells were suppressed under the transparent condition. These data suggest a simple solution to the transparency problem at the level of area V1. More than one motion vector can be represented at a single retinal location by different subpopulations of neurons tuned to different directions of motion; these subpopulations may represent the early stage for segmenting different, transparent surfaces. The results also suggest that facilitatory mechanisms, which unlike inhibitory interactions are largely unaffected by transparent conditions, play an important role in direction selectivity in area V1. The inhibitory interactions for different motion directions for area MT neurons may contribute to a mechanism for smoothing or averaging the velocity field, computations thought to be necessary for reducing noise and interpolating moving surfaces from sparse information.

Entities:  

Mesh:

Year:  1991        PMID: 1880548      PMCID: PMC6575251     

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


  104 in total

1.  Spatial summation in the receptive fields of MT neurons.

Authors:  K H Britten; H W Heuer
Journal:  J Neurosci       Date:  1999-06-15       Impact factor: 6.167

2.  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

3.  Determinants of asynchronous processing in vision.

Authors:  Derek H Arnold; Colin W G Clifford
Journal:  Proc Biol Sci       Date:  2002-03-22       Impact factor: 5.349

4.  Hierarchy of direction-tuned motion adaptation in human visual cortex.

Authors:  Hyun Ah Lee; Sang-Hun Lee
Journal:  J Neurophysiol       Date:  2012-01-04       Impact factor: 2.714

5.  Visual motion integration by neurons in the middle temporal area of a New World monkey, the marmoset.

Authors:  Selina S Solomon; Chris Tailby; Saba Gharaei; Aaron J Camp; James A Bourne; Samuel G Solomon
Journal:  J Physiol       Date:  2011-09-26       Impact factor: 5.182

6.  Orientation selectivity of motion-boundary responses in human visual cortex.

Authors:  Jonas Larsson; David J Heeger; Michael S Landy
Journal:  J Neurophysiol       Date:  2010-09-22       Impact factor: 2.714

7.  Evidence and Counterevidence in Motion Perception.

Authors:  Jacob Duijnhouwer; Bart Krekelberg
Journal:  Cereb Cortex       Date:  2015-10-03       Impact factor: 5.357

8.  The response of neurons in areas V1 and MT of the alert rhesus monkey to moving random dot patterns.

Authors:  R J Snowden; S Treue; R A Andersen
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

9.  Moving from spatially segregated to transparent motion: A modelling approach.

Authors:  Szonya Durant; Alejandra Donoso-Barrera; Sovira Tan; Alan Johnston
Journal:  Biol Lett       Date:  2006-03-22       Impact factor: 3.703

Review 10.  Velocity computation in the primate visual system.

Authors:  David C Bradley; Manu S Goyal
Journal:  Nat Rev Neurosci       Date:  2008-09       Impact factor: 34.870

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