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The Temporal Dynamics of Attentional Allocation during Counterfactual Learning
Germain Lefebvre1, Jamal Esmaily1, Zahra Rezazadeh1
1Ludwig-Maximilians-Universität München.
Journal of Cognitive Neuroscience
|May 19, 2026
Summary
This study reveals how we learn from hypothetical outcomes. We found that attention shifts from actual results to potential ones, influencing our decisions and learning through confirmation bias.
Area of Science:
- Cognitive Neuroscience
- Decision-Making
- Reinforcement Learning
Background:
- Counterfactual learning is crucial for adapting behavior.
- Neural and computational bases are known, but temporal attention dynamics are unclear.
Purpose of the Study:
- Investigate biological mechanisms of attention to factual and counterfactual outcomes.
- Understand temporal dynamics in decision-making.
Main Methods:
- Used a two-armed bandit task with eye-tracking and pupillometry.
- Analyzed gaze patterns and pupil dilation in 36 participants.
- Integrated behavioral modeling with physiological markers.
Main Results:
- Observed a confirmation bias, with more learning from confirming outcomes.
- Gaze shifted from factual to counterfactual outcomes, modulated by outcome valence.
- Pupil dilation indicated surprise during disconfirmatory feedback.
Conclusions:
- Attentional and arousal systems jointly shape outcome evaluation.
- Provides mechanistic insights into how hypothetical alternatives are evaluated.
- Contributes to understanding adaptive decision-making constraints.
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