Literature DB >> 8134243

Detection of changes in speed and direction of motion: reaction time analysis.

E N Dzhafarov1, R Sekuler, J Allik.   

Abstract

Observers reacted to the change in the movement of a random-dot field whose initial velocity, V0, was constant for a random period and then switched abruptly to another value, V1. The two movements, both horizontally oriented, were either in the same direction (speed increments or decrements), or in the opposite direction but equal in speed (direction reversals). One of the two velocities, V0 or V1, could be zero (motion onset and offset, respectively). In the range of speeds used, 0-16 deg/sec (dps), the mean reaction time (MRT) for a given value of V0 depended on magnitude of V1-V0 only: MRT approximately r+c(V0)/magnitude of V1-V0 beta, where beta = 2/3, r is a velocity-independent component of MRT, and c(V0) is a parameter whose value is constant for low values of V0 (0-4 dps), and increases beginning with some value of V0 between 4 and 8 dps. These and other data reviewed in the paper are accounted for by a model in which the time-position function of a moving target is encoded by mass activation of a network of Reichardt-type encoders. Motion-onset detection (V0 = 0) is achieved by weighted temporal summation of the outputs of this network, the weights assigned to activated encoders being proportional to their squared spatial spans. By means of a "subtractive normalization," the visual system effectively reduces the detection of velocity changes (a change from V0 to V1) to the detection of motion onset (a change from 0 to V1-V0). Subtractive normalization operates by readjustment of weights: the weights of all encoders are amplified or attenuated depending on their spatial spans, temporal spans, and the initial velocity V0. Assignment of weights and weighted temporal summation are thought of as special-purpose computations performed on the dynamic array of activations in the motion-encoding network, without affecting the activations themselves.

Entities:  

Mesh:

Year:  1993        PMID: 8134243     DOI: 10.3758/bf03211798

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  35 in total

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Authors:  J Hohnsbein; S Mateeff
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3.  The distribution of human motion detector properties in the monocular visual field.

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4.  Single units and sensation: a neuron doctrine for perceptual psychology?

Authors:  H B Barlow
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5.  Visual hyperacuity:spatiotemporal interpolation in human vision.

Authors:  M Fahle; T Poggio
Journal:  Proc R Soc Lond B Biol Sci       Date:  1981-11-24

6.  Temporal summation of moving images by the human visual system.

Authors:  D C Burr
Journal:  Proc R Soc Lond B Biol Sci       Date:  1981-03-11

Review 7.  The role of visual and cognitive processes in the control of eye movement.

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8.  Spatiotemporal integration in the detection of coherent motion.

Authors:  A J van Doorn; J J Koenderink
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9.  Relative motion induced between stationary lines.

Authors:  K Nakayama; C W Tyler
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10.  Visual motion detection models: features and frequency filters.

Authors:  C Bonnet
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5.  What determines the detection of changes in motion velocity? A comment on Dzhafarov, Sekuler, and Allik (1993)

Authors:  J Hohnsbein; G Dimitrov; S Mateeff
Journal:  Percept Psychophys       Date:  1996-10

6.  Magnitude of luminance modulation specifies amplitude of perceived movement.

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7.  Visual detection of motion speed in humans: spatiotemporal analysis by fMRI and MEG.

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8.  Representation of motion onset and offset in an augmented Barlow-Levick model of motion detection.

Authors:  Timothy Barnes; Ennio Mingolla
Journal:  J Comput Neurosci       Date:  2012-04-13       Impact factor: 1.621

9.  Giraffes go for more: a quantity discrimination study in giraffes (Giraffa camelopardalis).

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10.  Integration across Time Determines Path Deviation Discrimination for Moving Objects.

Authors:  David Whitaker; Dennis M Levi; Graeme J Kennedy
Journal:  PLoS One       Date:  2008-04-16       Impact factor: 3.240

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