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Catecholamine precursor modulation of human exploration: Evidence from a large gender-balanced sample
Angela Mariele Brands1, Kilian Knauth2, David Mathar1
1Biological Psychology, Department of Psychology, University of Cologne, Cologne, Germany.
Plos Computational Biology
|June 11, 2026
Summary
Tyrosine supplementation improved reinforcement learning by enhancing value-driven choices and reducing exploration. This suggests Tyrosine optimizes decision-making by stabilizing behavior for better reward accumulation.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Computational Psychiatry
Background:
- The catecholamine precursor Tyrosine is associated with cognitive enhancement.
- Its specific effects on decision-making and reinforcement learning, processes modulated by catecholamines, are not well understood.
Purpose of the Study:
- To investigate the impact of a single 2g dose of Tyrosine on reinforcement learning and exploration.
- To explore the computational mechanisms underlying Tyrosine's effects on decision-making.
Main Methods:
- A within-subjects, preregistered study with 63 participants.
- Assessment of reinforcement learning and exploration following Tyrosine administration.
- Computational modeling using established reinforcement learning models.
Main Results:
- Tyrosine significantly improved reinforcement learning performance.
- Computational modeling indicated increased value-driven exploitation and reduced directed exploration under Tyrosine.
- Further analysis revealed reductions in value-independent perseveration.
Conclusions:
- Tyrosine enhances reinforcement learning by increasing exploitation and reducing exploration, stabilizing choice patterns to optimize reward accumulation.
- These findings highlight Tyrosine's role in modulating catecholamine-influenced computational mechanisms relevant to decision-making.
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