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Related Concept Videos

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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Published on: May 7, 2014

Model-based analysis of context-specific cognitive control.

Joseph A King1, Christopher Donkin, Franziska M Korb

  • 1Center for Cognitive Neuroscience, Duke University Durham, NC, USA.

Frontiers in Psychology
|September 28, 2012
PubMed
Summary
This summary is machine-generated.

The context-specific proportion congruent (CSPC) effect improves interference resolution in high-conflict contexts. This study suggests CSPC effects arise from prediction errors shifting decision criteria, not enhanced sensory processing.

Keywords:
cognitive controlconflictevidence accumulation modelsinterferencemathematical modelingprediction errorprimingresponse threshold

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computational Modeling

Background:

  • The context-specific proportion congruent (CSPC) effect demonstrates improved interference resolution when stimuli appear in frequently conflicting contexts.
  • This phenomenon challenges traditional models of automatic versus controlled processing, suggesting context can bottom-up prime top-down control.
  • Prior fMRI studies supported a "priming of control" hypothesis, linking CSPC to processing selectivity adjustments.

Purpose of the Study:

  • To investigate the underlying psychological mechanisms of the CSPC effect.
  • To differentiate between "priming of control" (enhanced evidence accumulation) and "prediction error" (altered decision criteria) explanations for CSPC.
  • To apply quantitative modeling to reaction time and accuracy data to elucidate latent decision-making processes.

Main Methods:

  • Utilized the linear ballistic accumulator (LBA) model, a quantitative choice model.
  • Analyzed reaction time and accuracy data from four independent samples performing a modified flanker task.
  • Contrasted LBA models where CSPC effects were attributed to changes in evidence accumulation rate (drift) versus decision threshold.

Main Results:

  • For most participants, the LBA model indicated that CSPC effects were best explained by increased response thresholds for contextually infrequent trial types.
  • This suggests that the system requires more evidence to make a decision on rare, predictable trials within a given context.
  • The findings challenge the notion that CSPC solely reflects enhanced sensory evidence accumulation.

Conclusions:

  • The CSPC effect likely stems from adjustments in response caution, specifically shifts in decision criteria, triggered by prediction errors.
  • Encountering rare events (e.g., congruent trials in a high-conflict context) leads to heightened response thresholds.
  • This provides a more nuanced understanding of how context influences cognitive control and decision-making processes.