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Related Experiment Video

Updated: Jun 4, 2026

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

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

Published on: December 5, 2025

Cognitive control in majority search: a computational modeling approach.

Hongbin Wang¹, Xun Liu, Jin Fan

¹School of Biomedical Informatics, University of Texas Health Science Center at Houston Houston, TX, USA.

Frontiers in Human Neuroscience

|March 4, 2011

Summary

This summary is machine-generated.

This study used neural network models to explore cognitive control during uncertainty. The grouping search model better explained human data for the majority function task compared to self-terminating search.

Keywords:

algorithms cognitive control computational modeling majority function neural networks uncertainty

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Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

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Published on: March 14, 2025

Area of Science:

Cognitive Neuroscience
Computational Neuroscience
Artificial Intelligence

Background:

Cognitive control is crucial for tasks involving uncertainty.
The brain mechanisms underlying cognitive control in uncertain situations are not fully understood.

Purpose of the Study:

To investigate the neural instantiation of cognitive control in a majority function task.
To compare two distinct computational algorithms: grouping search and self-terminating search.

Main Methods:

Development of biologically realistic neural network models.
Implementation of two algorithms (grouping search and self-terminating search) by altering model parameters.
Comparison of model performance against human behavioral data.

Main Results:

Both models successfully performed the majority function task.
The grouping search model demonstrated a better fit to human data than the self-terminating search model.
Analysis of model dynamics provided insights into the neural basis of cognitive control for majority judgments.

Conclusions:

Cognitive control in majority function tasks may be instantiated through a grouping search mechanism.
Neural network modeling offers a valuable approach to understanding the computational underpinnings of cognitive control.
Further research can elucidate the precise neural dynamics involved in decision-making under uncertainty.