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Related Experiment Videos

Generalization peak shift for autoshaped and operant key pecks.

S J Weiss1, R D Weissman

  • 1The American University.

Journal of the Experimental Analysis of Behavior
|March 1, 1992
PubMed
Summary

Pigeons trained with operant or autoshaped methods showed similar stimulus control, with autoshaped pigeons exhibiting a robust "peak shift" in their discrimination learning.

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Area of Science:

  • Comparative Psychology
  • Behavioral Neuroscience

Background:

  • Discrimination learning is fundamental to understanding stimulus control in both operant and classical conditioning.
  • Previous research suggests similarities in perceptual processing across different learning paradigms, but robust evidence for respondent peak shift is rare.

Purpose of the Study:

  • To investigate and compare stimulus control in pigeons trained via operant (response-reinforcer) and autoshaped (stimulus-reinforcer) contingencies.
  • To examine the phenomenon of "peak shift" in generalization gradients under both training conditions.

Main Methods:

  • Pigeons were trained to discriminate between 528-nm and 540-nm stimuli using either operant or autoshaped procedures.
  • Contingency assays confirmed the type of stimulus control established.
  • A wavelength generalization test was conducted in extinction following discrimination training.

Main Results:

  • Both operant and autoshaped groups demonstrated effective discrimination learning.
  • All pigeons exhibited a "peak shift" on the generalization test, responding most to a stimulus further from the negative stimulus.
  • Autoshaped pigeons showed significantly higher peak rates (33-80% increase) compared to training stimuli rates.

Conclusions:

  • The findings support the similarity of perceptual processing in classical (respondent) and operant learning.
  • The robust demonstration of respondent peak shift in autoshaped pigeons provides strong evidence for two-process theories of stimulus control.
  • Results are discussed in relation to Spence's gradient-interaction theory and Weiss' two-process model.

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