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Related Concept Videos

Steps in the Modeling Process01:14

Steps in the Modeling Process

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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Updated: Aug 15, 2025

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
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A cognitive process modeling framework for the ABCD study stop-signal task.

Alexander Weigard1, Dora Matzke2, Charlotte Tanis2

  • 1Department of Psychiatry, University of Michigan, USA.

Developmental Cognitive Neuroscience
|January 5, 2023
PubMed
Summary
This summary is machine-generated.

The Adolescent Brain Cognitive Development (ABCD) Study

Keywords:
Bayesian cognitive modelingEvidence accumulationInhibitionParameter recoveryTrigger failure

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • The Adolescent Brain Cognitive Development (ABCD) Study is a large-scale longitudinal neuroimaging project.
  • A design feature in its stop-signal task violates "context independence," impacting inhibitory ability measures.
  • This has raised concerns about the validity of existing data and methods.

Purpose of the Study:

  • To introduce a cognitive process modeling framework, the RDEX-ABCD model.
  • To explain the impact of the design feature on "go" stimulus processing and ABCD data trends.
  • To provide a method for accurate measurement of stop-signal reaction time (SSRT) and other parameters.

Main Methods:

  • Developed the RDEX-ABCD cognitive process modeling framework.
  • Conducted simulation studies to assess the impact of context independence violations.
  • Applied the RDEX-ABCD model to address design violations and measure SSRT.

Main Results:

  • The RDEX-ABCD model parsimoniously explains "go" stimulus processing and ABCD behavioral trends.
  • Failing to account for context independence violations can lead to erroneous inferences.
  • The RDEX-ABCD model accurately measures SSRT and other mechanistic parameters, addressing design limitations.

Conclusions:

  • The RDEX-ABCD model offers a valid and nuanced approach to analyzing ABCD study data.
  • It corrects for design-induced violations, enabling more accurate inferences about inhibitory control.
  • This framework advances the understanding of adolescent brain development and cognitive functions.