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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Related Experiment Video

Updated: Jun 15, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
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Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

Published on: December 5, 2025

Computational models of cognitive control.

Randall C O'Reilly1, Seth A Herd, Wolfgang M Pauli

  • 1Department of Psychology and Neuroscience, University of Colorado Boulder, 345 UCB, Boulder, CO 80309, USA. randy.oreilly@colorado.edu

Current Opinion in Neurobiology
|February 27, 2010
PubMed
Summary
This summary is machine-generated.

Cognitive control, the brain's ability to manage distractions, relies on the prefrontal cortex. Computational models are advancing our understanding of its key functions, including gating, hierarchies, and reward processing.

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Related Experiment Videos

Last Updated: Jun 15, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Cognitive control enables task-relevant processing amidst distractions.
  • This function depends on the prefrontal cortex and basal ganglia.
  • Computational models are crucial for understanding cognitive control mechanisms.

Purpose of the Study:

  • To review current computational modeling developments in cognitive control.
  • To highlight advancements in understanding prefrontal cortex functions.
  • To synthesize progress in three key modeling areas.

Main Methods:

  • Review of computational models in cognitive control research.
  • Analysis of models focusing on prefrontal cortex functions.
  • Synthesis of research on dynamic gating, hierarchies, and reward processing.

Main Results:

  • Computational models are significantly advancing the understanding of cognitive control.
  • Key areas of progress include dynamic gating, hierarchical processing, and reward/motivation integration.
  • These models provide insights into the neural basis of cognitive control.

Conclusions:

  • Computational modeling is a vital tool for dissecting cognitive control.
  • Continued development in modeling promises deeper insights into prefrontal cortex function.
  • The integration of computational approaches is driving the field forward.