Trial-by-trial learning of successor representations in human behavior

Abstract excerpt

Decisions in humans and other organisms depend, in part, on learning and using models that capture the statistical structure of the world, including the long-run expected outcomes of our actions. One prominent approach to forecasting such long-run outcomes is the successor representation (SR), which predicts future states aggregated over multiple timesteps. Although much behavioral and neural evidence suggests tha...

Topics

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• Learning
• Brain Mapping
• Catechol O-Methyltransferase
• Decision Making
• Dopamine
• Dopamine and cAMP-Regulated Phosphoprotein 32
• Models, Psychological
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

8ff56766-ccd6-5ac6-bc41-d717f6f9120f

DOI

10.1101/2024.11.07.622528