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Related Experiment Videos

Testing Evidence Accrual Models by Manipulating Stimulus Onset.

Jeffrey N. Rouder1

  • 1University of Missouri-Columbia

Journal of Mathematical Psychology
|April 17, 2001
PubMed
Summary

Evidence accrual models predict faster, more accurate responses to dominating stimuli. Anomalous cases with extreme response biases show slower latencies, challenging these models.

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Modelling serial position curves with temporal distinctiveness.

Memory (Hove, England)ยท2001
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Area of Science:

  • Cognitive Psychology
  • Psychophysics
  • Computational Neuroscience

Background:

  • Response time models often assume evidence accrual over time.
  • Stimulus presentation can vary in temporal dynamics (e.g., stepped vs. ramped).
  • Dominance describes a temporal relationship where one stimulus precedes another.

Purpose of the Study:

  • To formalize and test evidence accrual models using stimulus dominance.
  • To investigate whether dominating stimuli consistently yield faster and more accurate responses.
  • To identify conditions under which evidence accrual models may fail.

Main Methods:

  • Formalization of the class of evidence accrual models.
  • Introduction of the concept of stimulus dominance (ramped vs. stepped stimuli).
  • Extensive computer simulations of random walk and accumulator models.

Main Results:

  • Evidence accrual models generally predict more accurate responses to dominating stimuli.
  • Anomalous cases show slower mean correct response latencies to dominating stimuli.
  • These anomalies occur with highly asymmetric response criteria and extreme response biases.

Conclusions:

  • Stimulus time course manipulation via dominance offers empirical tests for evidence accrual models.
  • Standard evidence accrual models predict improved accuracy and speed with dominating stimuli under normal conditions.
  • Extreme response biases are critical for observing counterintuitive latency predictions in accumulator models.

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