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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Related Experiment Video

Updated: Jan 1, 2026

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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Modelling decision-making under uncertainty: A direct comparison study between human and mouse gambling data.

Lidia Cabeza1, Julie Giustiniani2, Thibault Chabin1

  • 1EA-481 Laboratoire de Neurosciences Intégratives et Cliniques de Besançon, Université Bourgogne - Franche-Comté, France.

European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology
|December 16, 2019
PubMed
Summary

This study compared decision-making in humans and mice using a gambling task. Both species showed similar performance patterns, but mice learned faster, highlighting conserved decision-making processes.

Keywords:
Decision-makingIowa Gambling TaskMouse gambling task

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Area of Science:

  • Neuroscience
  • Comparative Psychology
  • Behavioral Economics

Background:

  • Decision-making is crucial for survival, relying on reward and cognitive control.
  • The Iowa Gambling Task (IGT) assesses human decision-making under uncertainty.
  • Animal adaptations of IGT exist, but direct interspecies comparisons are limited.

Purpose of the Study:

  • To directly compare non-pathological decision-making performance between humans and C57BL/6 mice.
  • To validate a maze-based rodent adaptation of the IGT.
  • To investigate conserved and divergent aspects of decision-making across species.

Main Methods:

  • Humans completed an electronic Iowa Gambling Task.
  • Mice (C57BL/6) performed a maze-based adaptation with probabilistic rewards.
  • Behavioral performance and choice patterns were analyzed and compared between species.

Main Results:

  • Humans and mice exhibited closely matching performance and similar choice behavior patterns.
  • Mice demonstrated a faster learning rate compared to humans.
  • Both populations clustered into similar proportions of good, intermediate, and poor decision-makers.

Conclusions:

  • The rodent gambling task shows good face validity for studying decision-making.
  • Similarities in performance suggest conserved decision-making mechanisms.
  • Further research with pathological models is needed to fully understand decision-making determinants.