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Prior experience informs ensemble encoding.

L Elizabeth Crawford1, Jonathan C Corbin2, David Landy3

  • 1Department of Psychology, University of Richmond, 28 Westhampton Way, Richmond, VA, 23173, USA. lcrawfor@richmond.edu.

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|November 18, 2018
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Summary
This summary is machine-generated.

Our study shows that how we perceive a group of objects is influenced by past experiences. This "ensemble encoding" uses a learned prototype from previous stimuli to adjust current estimates, improving accuracy.

Keywords:
Category learningEnsemble encodingStatistical learning

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Area of Science:

  • Cognitive Psychology
  • Perception
  • Machine Learning

Background:

  • Humans rapidly form summary representations of simultaneously presented objects.
  • This ensemble encoding captures statistical regularities within a set.

Purpose of the Study:

  • To investigate if ensemble encoding is influenced by previously viewed stimuli.
  • To determine if a learned prototype (meta-ensemble) acts as prior information.

Main Methods:

  • Participants estimated the average of four presented objects (shaded squares or emotional expressions).
  • Estimates were adjusted based on a response object.
  • Bayesian models were used to analyze the integration of hierarchical information sources.

Main Results:

  • Estimates were systematically biased towards the central value of previously viewed stimuli.
  • This bias indicates the influence of a learned prototype on current ensemble estimates.

Conclusions:

  • Inductively learned prototypes serve as a source of prior information for ensemble estimation.
  • Ensemble encoding leverages both immediate and historical statistical regularities for improved perception.