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Updated: Nov 21, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
Published on: February 26, 2014
Parametric shift from rational to irrational decisions in mice.
Nathan A Schneider1, Benjamin Ballintyn1, Donald Katz2
1Volen Center for Complex Systems, Neuroscience Program, Department of Biology, Brandeis University, Waltham, MA, 02453, USA.
Mice decision-making deviates from optimal outcomes due to cost, not just emotion. Sensitivity to sunk cost also impacts choices, but rationality can emerge in specific task contexts.
Area of Science:
- Neuroscience
- Behavioral Economics
- Animal Behavior
Background:
- Classical economic theory assumes rational decision-making to maximize income.
- Observed deviations from optimal choices suggest influence of covert factors like emotion and sunk cost.
- Understanding factors driving suboptimal decisions and their extent remains a challenge.
Purpose of the Study:
- To investigate contexts and extent of deviations from optimal decision-making.
- To analyze mouse behavior in a controlled economic choice task.
- To determine the primary drivers of suboptimal choices in mice.
Main Methods:
- Developed a novel decision-making task for mice with adjustable cost-benefit parameters.
- Defined a tractable optimal solution for comparison.
- Quantified sensitivity to sunk cost and analyzed behavioral deviations.
Main Results:
- The cost parameter was the strongest contributor to suboptimal performance in mice.
- Sensitivity to sunk cost was identified as another significant factor reducing optimality.
- In specific conditions (unattractive large reward, low small reward cost), sunk cost sensitivity and suboptimality diminished.
Conclusions:
- Mouse "rationality" is not absolute but a task-specific construct.
- Cost and sunk cost sensitivity significantly influence economic choices in mice.
- Behavior approximated rationality when objective valuation, free from covert factors, guided decisions.
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