Literature DB >> 2035271

Perceived speed of moving two-dimensional patterns.

V P Ferrera1, H R Wilson.   

Abstract

When two cosine gratings drifting in different directions are superimposed they can form a coherently moving two-dimensional pattern (plaid) whose resultant speed is related to the component velocities by a geometric construction known as the intersection-of-constraints (IOC). When measured against a standard which has the same spatial frequency as its components, a plaid always appears to move slower than the IOC prediction. However, the perceived speed is generally faster than would be predicted if speed were judged based on the temporal frequency of either the components or the nodes of the plaid. On the other hand, when the standard has the same spatial period as the nodes, the plaid appears to move at the same rate as the predicted IOC resultant. Furthermore, a grating with the same spatial period as the nodes appears to move slower than a grating at the component spatial frequency, just the plaid does. It is therefore likely that speed is encoded similarly for both gratings and plaids, and that the perceived speed of both is determined by the spatial periodicity of the pattern. We have previously classified 2D moving patterns as either type I (resultant lies between component directions) or type II (resultant outside of components). We find that the perceived speed of both types can be accounted for on the basis of the nodal spatial period. Finally we present a model for velocity coding which is based on the responses of spatio-temporal mechanisms.

Mesh:

Year:  1991        PMID: 2035271     DOI: 10.1016/0042-6989(91)90154-w

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


  6 in total

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2.  A self-organising neural network model of image velocity encoding.

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3.  Apparent speed increases at low luminance.

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4.  Ferrets as a Model for Higher-Level Visual Motion Processing.

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Journal:  Curr Biol       Date:  2018-12-27       Impact factor: 10.834

5.  The role of the harmonic vector average in motion integration.

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Journal:  Front Comput Neurosci       Date:  2013-10-21       Impact factor: 2.380

6.  Measuring Early Cortical Visual Processing in the Clinic.

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Journal:  Iperception       Date:  2017-05-17
  6 in total

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