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• W4200456218 abstract "SUMMARY Animals exhibit diverse behavioral responses, such as exploration and avoidance, to novel cues in the environment. However, it remains unclear how dopamine neuron-related novelty responses influence behavior. Here, we characterized dynamics of novelty exploration using multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq). Novelty elicits a characteristic sequence of behavior, starting with investigatory approach and culminating in object engagement or avoidance. Dopamine in the tail of striatum (TS) suppresses engagement, and dopamine responses were predictive of individual variability in behavior. Behavioral dynamics and individual variability were explained by a novel reinforcement learning (RL) model of threat prediction, in which behavior arises from a novelty-induced initial threat prediction (akin to “shaping bonus”), and a threat prediction that is learned through dopamine-mediated threat prediction errors. These results uncover an algorithmic similarity between reward- and threat-related dopamine sub-systems. Highlights Novelty-induced behaviors are analyzed using modern machine-learning methods Novelty induces risk assessment which develops into engagement or avoidance Dopamine in the tail of striatum correlates with individual behavioral variability Reinforcement learning with shaping bonus and uncertainty explains the data" @default.
• W4200456218 created "2021-12-31" @default.
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• W4200456218 date "2021-12-21" @default.
• W4200456218 modified "2023-09-28" @default.
• W4200456218 title "Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction" @default.
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• W4200456218 doi "https://doi.org/10.1101/2021.12.21.473723" @default.
• W4200456218 hasPublicationYear "2021" @default.
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