Literature DB >> 3973764

Model of human visual-motion sensing.

A B Watson, A J Ahumada.   

Abstract

We propose a model of how humans sense the velocity of moving images. The model exploits constraints provided by human psychophysics, notably that motion-sensing elements appear tuned for two-dimensional spatial frequency, and by the frequency spectrum of a moving image, namely, that its support lies in the plane in which the temporal frequency equals the dot product of the spatial frequency and the image velocity. The first stage of the model is a set of spatial-frequency-tuned, direction-selective linear sensors. The temporal frequency of the response of each sensor is shown to encode the component of the image velocity in the sensor direction. At the second stage, these components are resolved in order to measure the velocity of image motion at each of a number of spatial locations and spatial frequencies. The model has been applied to several illustrative examples, including apparent motion, coherent gratings, and natural image sequences. The model agrees qualitatively with human perception.

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Year:  1985        PMID: 3973764     DOI: 10.1364/josaa.2.000322

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  116 in total

1.  Direction selectivity and spatiotemporal separability in simple cortical cells.

Authors:  M A García-Pérez
Journal:  J Comput Neurosci       Date:  1999 Sep-Oct       Impact factor: 1.621

2.  Induced motion at texture-defined motion boundaries.

Authors:  A Johnston; C P Benton; P W McOwan
Journal:  Proc Biol Sci       Date:  1999-12-07       Impact factor: 5.349

3.  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

4.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

5.  A new approach to analysing texture-defined motion.

Authors:  C P Benton; A Johnston
Journal:  Proc Biol Sci       Date:  2001-12-07       Impact factor: 5.349

6.  Development of response timing and direction selectivity in cat visual thalamus and cortex.

Authors:  Alan B Saul; Jordan C Feidler
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

7.  Intrasaccadic perception.

Authors:  M A García-Pérez; E Peli
Journal:  J Neurosci       Date:  2001-09-15       Impact factor: 6.167

8.  Space-time maps and two-bar interactions of different classes of direction-selective cells in macaque V-1.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

9.  Efficiency of extracting stereo-driven object motions.

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

10.  Sensory optimization by stochastic tuning.

Authors:  Peter Jurica; Sergei Gepshtein; Ivan Tyukin; Cees van Leeuwen
Journal:  Psychol Rev       Date:  2013-10       Impact factor: 8.934

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