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Stochastic interactive processes and the effect of context on perception.

J L McClelland1

  • 1Department of Psychology, Carnegie-Mellon University, Pittsburgh, PA 15213.

Cognitive Psychology
|January 1, 1991
PubMed
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Classical models explain context effects in perception independently. However, interactive models, like TRACE, can also explain these effects, especially with input or network variability.

Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Speech Perception

Background:

  • Classical models describe context effects in perceptual identification as independent influences of contextual and stimulus information.
  • Massaro (1989) proposed interactive models, such as the TRACE model, might be incompatible with classical context effects.

Purpose of the Study:

  • To investigate the compatibility of interactive models with classical context effects in perception.
  • To demonstrate that interactive models can replicate classical context effects.

Main Methods:

  • Mathematical analysis of interactive network models.
  • Computer simulations of interactive models under varying conditions.

Main Results:

Related Experiment Videos

  • Interactive models can exhibit classical context effects.
  • Variability in network input or intrinsic network properties allows interactive models to replicate classical context effects.
  • The incompatibility hypothesis between interactive and classical models is rejected.

Conclusions:

  • Interactive models are not necessarily alternatives to classical accounts of context effects.
  • Interactive models offer insights into the dynamic information processing underlying perceptual behavior.
  • Findings support interactive models as explanations for the asymptotic behavior described by classical models.