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Updated: Feb 20, 2026

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
Published on: April 15, 2014
Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error
Guillaume Viejo1, Benoît Girard2, Emmanuel Procyk3
1Sorbonne Universités, UPMC Univ Paris 06, CNRS, Institute of Intelligent Systems and Robotics (ISIR), F-75005 Paris, France; Montreal Neurological Institute and Hospital, 3801 University Street, Montreal, Quebec, Canada.
Monkeys utilize a combination of reinforcement learning (RL) and working memory (WM) for trial-and-error learning, similar to humans. Differences in how RL and WM interact were observed, suggesting potential inter-species or protocol variations.
Area of Science:
- Cognitive Neuroscience
- Behavioral Economics
- Primate Cognition
Background:
- Human trial-and-error learning often involves a blend of reinforcement learning (RL) and working memory (WM).
- Comparing non-human primate neurophysiology to human brain activity is common, but it's unclear if monkeys use similar RL and WM processes.
- This study investigates the cognitive mechanisms underlying decision-making in monkeys during learning tasks.
Purpose of the Study:
- To determine if monkeys employ combined reinforcement learning (RL) and working memory (WM) strategies in discrete action tasks.
- To model and analyze monkey behavior using computational approaches that integrate RL and WM.
- To explore potential inter-species differences in the coordination dynamics between RL and WM.
Main Methods:
- Behavioral data from five monkeys performing trial-and-error learning tasks were analyzed.
- Computational models integrating reinforcement learning (RL) and working memory (WM) were used to fit trial-by-trial choices and reaction time data.
- Model-based analysis identified the best-fitting cognitive processes and coordination dynamics.
Main Results:
- Monkey behavior was best explained by a combination of reinforcement learning (RL) and working memory (WM), with significant inter-individual differences.
- The coordination dynamics between RL and WM varied across monkeys, with some showing patterns similar to previously studied humans, while others exhibited opposite dynamics.
- Analysis of model variants suggested that long pretraining might influence the coordination dynamics between RL and WM.
Conclusions:
- Monkeys, like humans, appear to use a combination of reinforcement learning (RL) and working memory (WM) for learning from discrete choices.
- Observed differences in RL-WM coordination dynamics may indicate inter-species variations or effects of experimental protocols.
- Further research in humans is warranted to explore these potential differences in cognitive process dynamics.
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