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Research article summary (published 30 Dec 2001):

Two-dimensional motion perception without feature tracking.

Full Abstract

Feature-tracking explanations of 2D motion perception are fundamentally distinct from motion-energy, correlation, and gradient explanations, all of which can be implemented by applying spatiotemporal filters to raw image data. Filter-based explanations usually suffer from the aperture problem, but 2D motion predictions for moving plaids have been derived from the intersection of constraints (IOC) imposed by the outputs of such filters, and from the vector sum of signals generated by such filters. In most previous experiments, feature-tracking and IOC predictions are indistinguishable. By constructing plaids in apparent motion from missing-fundamental gratings, we set feature-tracking predictions in opposition to both IOC and vector-sum predictions. The perceived directions that result are inconsistent with feature tracking. Furthermore, we show that increasing size and spatial frequency in Type 2 missing-fundamental plaids drives perceived direction from vector-sum toward IOC directions. This reproduces results that have been used to support feature-tracking, but under experimental conditions that rule it out. We discuss our data in the context of a Bayesian model with a gradient-based likelihood and a prior favoring slow speeds. We conclude that filter-based explanations alone can explain both veridical and non-veridical 2D motion perception in such stimuli.

 

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Author information

Author/s: Cobo-Lewis, Alan B (AB); Smallwood, Tasha B (TB);

Affiliation: Interdisciplinary Studies Program, University of Maine, Orono 04469, USA. alanc(-atsign-)maine.edu

Grants: 1R15EY13362-01 (Agency:NEI NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.

Journal: Spatial vision (Spat Vis), published in Netherlands. (Language: eng)

Reference: 2002-; vol 15 (issue 3) : pp 323-40

Dates: Created 2002/07/15; Completed 2003/01/10; Revised 2007/11/14;

PMID: 12116993, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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