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• W3161100175 abstract "Abstract The dopaminergic reward system encoding the reward PE signals is vital for reinforcement learning (RL). Although this reward PE hypothesis has been extensively validated, it remains considerable debates on the alternative account of motivation. In the current study, we diverted the participants’ motivation from the conditioned stimulus (CS)-associated valences to the CS-elicited actions in a variant Pavlovian conditioning task under appetitive and aversive conditions. We found that the regions in the dopaminergic reward system did not encode such bidirectional reward PE signals, but the PE magnitudes, namely, the motivation PE signals. These neural signals without indicating the directions of learning could not be directly used for model-free RL, but probably for model-based control. Specifically, the ventral striatum during the feedback phase might encode the need of adjusting the learning policy, while the putative substantia nigra pars compacta (SNc) in the midbrain and the putamen during the prediction phase might sustain the intended actions. Meanwhile, the primary motor cortex encoded the salience PE signals for model-free RL. Therefore, our findings demonstrate that the human dopaminergic reward system could encode the motivation PE signals to substantialize model-based control, rather than model-free learning, suggesting that its involvement in RL should be motivation-dependent." @default.
• W3161100175 created "2021-05-24" @default.
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• W3161100175 date "2020-08-17" @default.
• W3161100175 modified "2023-09-23" @default.
• W3161100175 title "Encoding Motivation Prediction Errors in the Human Dopaminergic Reward System" @default.
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• W3161100175 doi "https://doi.org/10.21203/rs.3.rs-51287/v1" @default.
• W3161100175 hasPublicationYear "2020" @default.
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