Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex
2011
Counterfactual Choice and Learning in a Neural Network
publication
Evidence: moderate
Author Information
Author(s): Boorman E. D, Behrens T. E, Rushworth M. F
Hypothesis
How does the brain monitor counterfactual outcomes and integrate them into decision-making?
Conclusion
The study found that specific brain areas represent fictive outcomes, which are important for understanding decision-making processes.
Supporting Evidence
- Neurons in several brain areas respond to counterfactual information about rewards.
- The lateral frontopolar cortex tracks outcomes of unchosen options in a gambling task.
- Impaired counterfactual thinking is linked to addiction and depression.
Takeaway
Our brains can think about what could have happened if we made different choices, and this helps us learn and make better decisions.
Methodology
The study used fMRI to measure brain activity in humans performing a three-option gambling task.
Digital Object Identifier (DOI)
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