Article

Hybrid Neural-Cognitive Models Reveal Flexible Context-Dependent Information Processing in Reversal Learning

2025-07-31

Abstract excerpt

Reversal learning tasks provide a key paradigm for studying behavioral flexibility, requiring individuals to update choices in response to shifting reward contingencies. While reinforcement learning (RL) models have been widely used to provide interpretable explanations of human behavior on similar learning tasks, recent work has revealed that they often fail to fully account for the complexity of learning dynamic...

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Literature Corpus work: 1b208f1a-8558-5f57-ad98-04872fc6ef64
DOI: 10.1101/2025.07.31.667923

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