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Related Experiment Video

Updated: May 5, 2026

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents
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Are accuracy and reaction time affected via different processes?

Martijn J Mulder1, Leendert van Maanen

  • 1Cognitive Science Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands ; Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.

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|November 22, 2013
PubMed
Summary
This summary is machine-generated.

Attentional cues affect tactile decision-making speed and accuracy through distinct processes. A drift diffusion model analysis reveals changes in evidence accumulation and non-decision time explain these effects, offering a nuanced view of perceptual decision dynamics.

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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Psychophysics

Background:

  • Tactile perceptual decisions involve accuracy and reaction time, typically explained by single-process models.
  • Previous research suggested attentional cues influence these decisions via distinct cognitive and neural pathways, challenging existing models.

Purpose of the Study:

  • To re-evaluate the findings of van Ede et al. (2012) using a drift diffusion model.
  • To elucidate how attentional cues modulate the underlying cognitive and neural processes of tactile perceptual decision-making.

Main Methods:

  • Behavioral data from van Ede et al. (2012) were analyzed using the drift diffusion model.
  • Model parameters, including drift rate and non-decision time, were fitted to explain variations in accuracy and reaction time.

Main Results:

  • Changes in both accuracy and reaction time were partly explained by increased sensory evidence accumulation (drift rate).
  • Modifications in non-decision time were also required to fully account for reaction time alterations.
  • The drift diffusion model provided a more detailed explanation than single-process models.

Conclusions:

  • Attentional effects on tactile perception arise from changes in evidence accumulation and non-decision time, not a single latent process.
  • Model-based analysis offers ecologically valid insights into the neuronal underpinnings of perceptual decision-making speed and accuracy.