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Sampling Distribution01:12

Sampling Distribution

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Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
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Attentional sampling of multiple wagon wheels.

James S P Macdonald1, Patrick Cavanagh, Rufin VanRullen

  • 1Department of Experimental Psychology, University of Oxford, Oxford, UK.

Attention, Perception & Psychophysics
|October 12, 2013
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Summary

The continuous wagon wheel illusion (c-WWI) may stem from attention sampling motion or adaptation. This study suggests attention sampling explains c-WWI, as its temporal tuning decreases with more stimuli, supporting discrete attentional sampling.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • The continuous wagon wheel illusion (c-WWI) involves illusory reversals in perceived motion direction when attending to periodic stimuli.
  • Two main hypotheses explain c-WWI: discrete attentional sampling and sensory adaptation.
  • Distinguishing between these accounts is crucial for understanding motion perception and attention.

Purpose of the Study:

  • To investigate whether the c-WWI arises from discrete attentional sampling or adaptation.
  • To test the prediction that c-WWI temporal-frequency tuning decreases with an increasing number of attended stimuli, as predicted by the attentional sampling model.

Main Methods:

  • Participants viewed one to four rotating gratings that periodically reversed direction.
  • Participants were instructed to count the number of direction reversals.
  • The temporal-frequency tuning of the c-WWI was measured for each set size by analyzing reversal overestimations.

Main Results:

  • The optimal temporal frequency for observing the c-WWI decreased as the number of stimuli increased.
  • This finding demonstrates a reduction in the temporal-frequency tuning of the illusion with larger set sizes.

Conclusions:

  • The results support the discrete attentional sampling interpretation of the c-WWI.
  • The sampling rate of visual attention appears to be influenced by the number of stimuli being attended to.
  • This suggests that attention dynamically adjusts its sampling based on the cognitive load imposed by multiple stimuli.