Literature DB >> 1731247

Spatial filtering precedes motion detection.

M J Morgan1.   

Abstract

When we perceive motion on a television or cinema screen, there must be some process that allows us to track moving objects over time: if not, the result would be a conflicting mass of motion signals in all directions. A possible mechanism, suggested by studies of motion displacement in spatially random patterns, is that low-level motion detectors have a limited spatial range, which ensures that they tend to be stimulated over time by the same object. This model predicts that the direction of displacement of random patterns cannot be detected reliably above a critical absolute displacement value (Dmax) that is independent of the size or density of elements in the display. It has been inferred that Dmax is a measure of the size of motion detectors in the visual pathway. Other studies, however, have shown that Dmax increases with element size, in which case the most likely interpretation is that Dmax depends on the probability of false matches between pattern elements following a displacement. These conflicting accounts are reconciled here by showing that Dmax is indeed determined by the spacing between the elements in the pattern, but only after fine detail has been removed by a physiological prefiltering stage: the filter required to explain the data has a similar size to the receptive field of neurons in the primate magnocellular pathway. The model explains why Dmax can be increased by removing high spatial frequencies from random patterns, and simplifies our view of early motion detection.

Mesh:

Year:  1992        PMID: 1731247     DOI: 10.1038/355344a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  19 in total

1.  Feature matching and segmentation in motion perception.

Authors:  N E Scott-Samuel; M A Georgeson
Journal:  Proc Biol Sci       Date:  1999-11-22       Impact factor: 5.349

Review 2.  Usage of spatial scales for the categorization of faces, objects, and scenes.

Authors:  D J Morrison; P G Schyns
Journal:  Psychon Bull Rev       Date:  2001-09

3.  Cue combination in the motion correspondence problem.

Authors:  P B Hibbard; M F Bradshaw; R A Eagle
Journal:  Proc Biol Sci       Date:  2000-07-07       Impact factor: 5.349

4.  Illusory motion perception in blindsight.

Authors:  Paul Azzopardi; Howard S Hock
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

Review 5.  Face perception: an integrative review of the role of spatial frequencies.

Authors:  Marcos Ruiz-Soler; Francesc S Beltran
Journal:  Psychol Res       Date:  2005-08-02

6.  Viewing-distance invariance of movement detection.

Authors:  W A van de Grind; J J Koenderink; A J van Doorn
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

7.  Default perception of high-speed motion.

Authors:  Mark Wexler; Andrew Glennerster; Patrick Cavanagh; Hiroyuki Ito; Takeharu Seno
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-09       Impact factor: 11.205

8.  Effects of retinal eccentricity and acuity on global-motion processing.

Authors:  Jeffrey D Bower; Zheng Bian; George J Andersen
Journal:  Atten Percept Psychophys       Date:  2012-07       Impact factor: 2.199

9.  Spatiotemporal Filter for Visual Motion Integration from Pursuit Eye Movements in Humans and Monkeys.

Authors:  Trishna Mukherjee; Bing Liu; Claudio Simoncini; Leslie C Osborne
Journal:  J Neurosci       Date:  2016-12-21       Impact factor: 6.167

10.  The aperture problem in contoured stimuli.

Authors:  David Kane; Peter J Bex; Steven C Dakin
Journal:  J Vis       Date:  2009-09-16       Impact factor: 2.240

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