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Hock, Howard S.; Nichols, David F. – Journal of Experimental Psychology: Human Perception and Performance, 2010
A version of the line motion illusion (LMI) occurs when one of two adjacent surfaces changes in luminance; a new surface is perceived sliding in front of the initially presented surface. Previous research has implicated high-level mechanisms that can create or modulate LMI motion via feedback to lower-level motion detectors. It is shown here that…
Descriptors: Infants, Motion, Perception, Visual Stimuli
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Proulx, Michael J. – Journal of Experimental Psychology: Human Perception and Performance, 2007
Understanding the relative role of top-down and bottom-up guidance is crucial for models of visual search. Previous studies have addressed the role of top-down and bottom-up processes in search for a conjunction of features but with inconsistent results. Here, the author used an attentional capture method to address the role of top-down and…
Descriptors: Probability, Predictor Variables, Visual Perception, Models
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Kyllingsbaek, Soren; Bundesen, Claus – Journal of Experimental Psychology: Human Perception and Performance, 2007
Observers given brief exposures of pairs of colored bars and asked to report both the color and the orientation of each bar showed evidence of stochastic independence between reports of the 4 features (2 colors and 2 orientations). The authors also found virtually perfect stochastic independence between reports of colors and directions of motion…
Descriptors: Motion, Visual Perception, Visual Stimuli, Probability
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Brown, Gordon D. A.; McCormack, Teresa; Smith, Mark; Stewart, Neil – Journal of Experimental Psychology: Human Perception and Performance, 2005
Two experiments examined identification and bisection of tones varying in temporal duration (Experiment 1) or frequency (Experiment 2). Absolute identification of both durations and frequencies was influenced by prior stimuli and by stimulus distribution. Stimulus distribution influenced bisection for both stimulus types consistently, with more…
Descriptors: Stimuli, Statistical Distributions, Mathematical Models, Novelty (Stimulus Dimension)