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A Two-interval Forced-choice Task for Multisensory Comparisons
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Structure uncovered: understanding temporal variability in perceptual decision-making.

Anne E Urai1

  • 1Cognitive Psychology, Leiden University, Leiden, The Netherlands.

Trends in Cognitive Sciences
|July 3, 2025
PubMed
Summary
This summary is machine-generated.

Perceptual decision-making research often overlooks trial-to-trial variability. Analyzing this temporal structure reveals hidden internal states and improves cognitive models of decision strategies.

Keywords:
behavioral strategieschoice variabilitydecision-makingdynamic cognitive modelingnoise

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Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Psychology

Background:

  • Perceptual decision-making studies often assume stable strategies, ignoring temporal dynamics.
  • Significant trial-to-trial variability exists even in expert decision-making.
  • Ignoring this variability can lead to confounds in cognitive models.

Purpose of the Study:

  • To highlight the importance of temporal structure in decision-making variability.
  • To introduce methods for uncovering and analyzing time-structured variability.
  • To bridge the gap between neural and cognitive mechanisms of variability.

Main Methods:

  • Utilizing latent variable models, specifically hidden Markov models and autoregressive models.
  • Analyzing the temporal sequence of observations in perceptual tasks.
  • Modeling unobservable internal states that change over time.

Main Results:

  • Demonstrated that trial-to-trial variability in decision-making is temporally structured.
  • Showcased how latent variable models can uncover this structured variability.
  • Identified insights into inter- and intraindividual differences in decision strategies.

Conclusions:

  • Temporal structure in decision-making variability is a crucial factor to consider.
  • Latent variable models offer a powerful approach to capture these dynamics.
  • Understanding temporal variability enhances cognitive models and links neural and cognitive processes.