Animal Behavior & CognitionbioRxivPreprint
Hybrid Neural-Cognitive Models Reveal Flexible Context-Dependent Information Processing in Reversal Learning
Yifei Cao, Maria Katharina Eckstein
This study introduces HybridRNNs, neural-cognitive models that combine reinforcement learning with recurrent networks to better explain human reversal learning behavior.
DOI 10.1101/2025.07.31.667923