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Related Experiment Videos

Simplicity versus likelihood in visual perception: from surprisals to precisals.

P A van der Helm1

  • 1Nijmegen Institute for Cognition and Information, University of Nijmegen, The Netherlands. peterh@nici.kun.nl

Psychological Bulletin
|September 16, 2000
PubMed
Summary

The visual system uses both likelihood and simplicity principles for interpreting stimuli. This study finds these principles converge in viewpoint-dependent perception, suggesting a unified evolutionary path for visual systems.

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Area of Science:

  • Visual perception
  • Information theory
  • Cognitive science

Background:

  • The visual system interprets stimuli based on principles like likelihood and simplicity.
  • These principles, though seemingly different, are explored for their relationship in visual processing.

Purpose of the Study:

  • To investigate the relationship between the likelihood principle and the simplicity principle in visual perception.
  • To determine how these principles interact, particularly in viewpoint-dependent aspects of perception.

Main Methods:

  • Integration of findings from classical, algorithmic, and structural information theory.
  • Analysis of viewpoint-independent and viewpoint-dependent aspects of visual perception.

Main Results:

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  • The likelihood and simplicity principles diverge in viewpoint-independent perception.
  • These principles converge significantly in viewpoint-dependent perception, which is crucial for everyday visual tasks.
  • The simplicity principle can quantitatively define aspects of the likelihood principle.

Conclusions:

  • The convergence of likelihood and simplicity in viewpoint-dependent perception suggests a unified evolutionary basis for visual systems.
  • The simplicity paradigm offers a quantitative framework for understanding the intuitive concepts of the likelihood paradigm in visual perception models.