Literature DB >> 7975348

An analysis of the temporal integration mechanism in human motion perception.

R E Fredericksen1, F A Verstraten, W A van de Grind.   

Abstract

We present a model for the temporal integration of apparent motion information. The model is constructed by considering psychophysical and neurophysiological data, and consists of the leaky integration of pulsatile motion detector responses to apparent motion stimuli. Each pulse represents a motion detector populational response to a discrete spatial displacement of the spatial pattern. Temporal contrast sensitivity determines the shape of constant-stimulus-duration threshold curves for image frame exposure durations less than about 133 msec. The shape of the threshold curve for image frame exposure durations greater than about 133 msec is determined by the leaky integrator time constant and the shape of the pulses emitted by the motion detectors. The leaky integrator model exhibits threshold saturation behaviour (the reaching of a maximum sensitivity or minimum threshold) seen in psychophysical data as well as dependence of saturation time on the frame rate of the apparent motion stimulus. A low frame rate results in a longer time-to-saturation because the leaky integrator discharges more between detector output pulses. When the motion detector output pulses are far enough apart there is effectively no temporal integration and therefore no threshold improvement over time. Finally, the behaviour of the psychophysical threshold curves across spatial displacement sizes is consistent with a populational-response threshold mechanism combined with spatial summation over a non-uniform distribution of detector types across the visual field.

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Year:  1994        PMID: 7975348     DOI: 10.1016/0042-6989(94)90081-7

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  3 in total

1.  Strategies optimize the detection of motion transients.

Authors:  Geoffrey M Ghose
Journal:  J Vis       Date:  2006-05-10       Impact factor: 2.240

2.  Correspondence noise and signal pooling in the detection of coherent visual motion.

Authors:  H Barlow; S P Tripathy
Journal:  J Neurosci       Date:  1997-10-15       Impact factor: 6.167

3.  Motion discrimination of single targets: comparison of preliminary findings in normal subjects and patients with glaucoma.

Authors:  A Sahraie; J L Barbur; D F Edgar; L Weiskrantz
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1996-09       Impact factor: 3.117

  3 in total

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