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Updated: Dec 30, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Mice adaptively generate choice variability in a deterministic task.

Marwen Belkaid¹, Elise Bousseyrol², Romain Durand-de Cuttoli²

¹Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique (ISIR), 75005, Paris, France.

Communications Biology

|January 23, 2020

Summary

This summary is machine-generated.

Mice generated choice variability in a deterministic environment, opting for pseudo-random selections over optimal strategies. This self-generated randomness persisted even when reward delivery rules changed, demonstrating intrinsic decision-making variability.

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Area of Science:

Neuroscience
Behavioral Economics
Computational Biology

Background:

Decision-making processes are often assumed to be influenced by external stochasticity.
The intrinsic capacity for generating variability in choice behavior remains an open question.

Purpose of the Study:

To investigate whether decision-makers can intrinsically generate variability in their choices.
To model animal decision-making using reinforcement learning in a controlled, deterministic setting.

Main Methods:

Mice were trained in a deterministic environment rewarding non-repetitive choice sequences.
Reinforcement learning models were used to analyze the decision-making strategies.
Behavioral responses were analyzed under varying reward delivery conditions.

Main Results:

Mice progressively increased their choice variability over time.
Animals adopted a pseudo-random selection strategy, deviating from theoretically optimal, more rewarding sequences.
Mice exhibited blindness to changes in temporal reward structure after establishing random choices.

Conclusions:

Decision-making can self-generate variability and randomness, independent of environmental stochasticity.
Intrinsic variability may serve as a strategy to ensure a high success rate in certain decision tasks.
Animal behavior demonstrates a capacity for generating randomness even in predictable reward scenarios.